{"id":16513,"date":"2024-01-26T05:32:24","date_gmt":"2024-01-26T02:02:24","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/"},"modified":"2024-01-26T05:32:24","modified_gmt":"2024-01-26T02:02:24","slug":"%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/","title":{"rendered":"\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc \u0628\u0627 LSTM \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Keras Python"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/#%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87\" >\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/#%d9%be%db%8c%d8%b4_%d8%a8%db%8c%d9%86%db%8c_%d9%82%db%8c%d9%85%d8%aa_%d8%b3%d9%87%d8%a7%d9%85_%d8%af%d8%b1_%d8%a2%db%8c%d9%86%d8%af%d9%87\" >\u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u062f\u0631 \u0622\u06cc\u0646\u062f\u0647<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/#%d9%88%d8%a7%d8%b1%d8%af%d8%a7%d8%aa_%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87_%d9%87%d8%a7\" >\u0648\u0627\u0631\u062f\u0627\u062a \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/#%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87\" >\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/#%d8%b9%d8%a7%d8%af%db%8c_%d8%b3%d8%a7%d8%b2%db%8c_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\" >\u0639\u0627\u062f\u06cc \u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/#%d8%aa%d8%a8%d8%af%db%8c%d9%84_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d8%a2%d9%85%d9%88%d8%b2%d8%b4%db%8c_%d8%a8%d9%87_%d8%b4%da%a9%d9%84_%d8%af%d8%b1%d8%b3%d8%aa\" >\u062a\u0628\u062f\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u062f\u0631\u0633\u062a<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/#%d8%a2%d9%85%d9%88%d8%b2%d8%b4_lstm\" >\u0622\u0645\u0648\u0632\u0634 LSTM<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/#%d8%aa%d8%b3%d8%aa_lstm_%d9%85%d8%a7\" >\u062a\u0633\u062a LSTM \u0645\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%aa%d8%ac%d8%b2%db%8c%d9%87-%d9%88-%d8%aa%d8%ad%d9%84%db%8c%d9%84-%d8%b3%d8%b1%db%8c-%d8%b2%d9%85%d8%a7%d9%86%db%8c-%d8%a8%d8%a7-lstm-%d8%a8%d8%a7-%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87-%d8%a7\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87\" >\u0646\u062a\u06cc\u062c\u0647<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 8<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c\"><\/span>\u0645\u0639\u0631\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u0628\u0647 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0631 \u0631\u0648\u0646\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u06cc\u06a9 \u062f\u0648\u0631\u0647 \u0632\u0645\u0627\u0646\u06cc \u0627\u0634\u0627\u0631\u0647 \u062f\u0627\u0631\u062f.  \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u062f\u0627\u0631\u062f.  \u06cc\u06a9\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u060c \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0627\u0631\u0632\u0634 \u0622\u06cc\u0646\u062f\u0647 \u06cc\u06a9 \u0622\u06cc\u062a\u0645 \u0627\u0633\u062a \u0631\u0648\u06cc \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc \u06af\u0630\u0634\u062a\u0647 \u0622\u0646  \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u062f\u0631 \u0622\u06cc\u0646\u062f\u0647 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0628\u0647\u062a\u0631\u06cc\u0646 \u0646\u0645\u0648\u0646\u0647 \u0627\u0632 \u0686\u0646\u06cc\u0646 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u0631\u0627 \u0628\u0627 \u06a9\u0645\u06a9 a \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u06cc\u0645 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Recurrent_neural_network\">\u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0645\u06a9\u0631\u0631<\/a>.  \u0645\u0627 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0622\u06cc\u0646\u062f\u0647 \u0634\u0631\u06a9\u062a \u0627\u067e\u0644 (AAPL) \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u0631\u0648\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0622\u0646 \u062f\u0631 5 \u0633\u0627\u0644 \u06af\u0630\u0634\u062a\u0647<\/p>\n<h2 id=\"dataset\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87\"><\/span>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0627\u062f\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0632 \u0622\u0646 \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0631\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/finance.yahoo.com\/quote\/AAPL\/history?p=AAPL&amp;.tsrc=fin-srch\" class=\"broken_link\">\u06cc\u0627\u0647\u0648 \u0641\u0627\u06cc\u0646\u0627\u0646\u0633<\/a>.  \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062e\u0648\u062f\u060c \u0627\u0632 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u067e\u0644 \u0627\u0632 1 \u0698\u0627\u0646\u0648\u06cc\u0647 2013 \u062a\u0627 31 \u062f\u0633\u0627\u0645\u0628\u0631 2017 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f. \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc\u060c \u0627\u0632 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u067e\u0644 \u0628\u0631\u0627\u06cc \u0645\u0627\u0647 \u0698\u0627\u0646\u0648\u06cc\u0647 2018 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f. \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u060c \u0642\u06cc\u0645\u062a \u0648\u0627\u0642\u0639\u06cc \u0633\u0647\u0627\u0645 \u0628\u0631\u0627\u06cc \u0645\u0627\u0647 \u0698\u0627\u0646\u0648\u06cc\u0647 2018 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f.<\/p>\n<p>\u062d\u0627\u0644 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627 \u0686\u06af\u0648\u0646\u0647 \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u0646\u062f.  \u0641\u0627\u06cc\u0644 \u0622\u0645\u0648\u0632\u0634\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u067e\u0644 \u0631\u0627 \u06a9\u0647 \u062d\u0627\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u067e\u0646\u062c \u0633\u0627\u0644\u0647 \u0627\u0633\u062a \u0628\u0627\u0632 \u06a9\u0646\u06cc\u062f.  \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u06cc\u062f \u06a9\u0647 \u0634\u0627\u0645\u0644 \u0647\u0641\u062a \u0633\u062a\u0648\u0646 \u0627\u0633\u062a: \u062a\u0627\u0631\u06cc\u062e\u060c \u0628\u0627\u0632\u060c \u0628\u0627\u0644\u0627\u060c \u067e\u0627\u06cc\u06cc\u0646\u060c \u0628\u0633\u062a\u0646\u060c \u062a\u0646\u0638\u06cc\u0645 \u0628\u0633\u062a\u0647 \u0648 \u062d\u062c\u0645.  \u0645\u0627 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u0641\u062a\u062a\u0627\u062d\u06cc\u0647 \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f\u060c \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u0647 \u0628\u0642\u06cc\u0647 \u0633\u062a\u0648\u0646 \u0647\u0627 \u0639\u0644\u0627\u0642\u0647 \u0627\u06cc \u0646\u062f\u0627\u0631\u06cc\u0645.<\/p>\n<p>\u0627\u06af\u0631 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u0641\u062a\u062a\u0627\u062d\u06cc\u0647 \u0631\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062a\u0627\u0631\u06cc\u062e \u0631\u0633\u0645 \u06a9\u0646\u06cc\u062f\u060c \u0646\u0645\u0648\u062f\u0627\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u06a9\u0631\u062f:<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/time-series-analysis-lstm-using-pythons-keras-library-1.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0631\u0648\u0646\u062f \u0628\u0647 \u0634\u062f\u062a \u063a\u06cc\u0631\u062e\u0637\u06cc \u0627\u0633\u062a \u0648 \u06af\u0631\u0641\u062a\u0646 \u0631\u0648\u0646\u062f \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u06cc\u0646 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u0633\u06cc\u0627\u0631 \u062f\u0634\u0648\u0627\u0631 \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u062c\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0642\u062f\u0631\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Long_short-term_memory\">LSTM<\/a> \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0642\u0631\u0627\u0631 \u06af\u06cc\u0631\u062f.  LSTM (\u0634\u0628\u06a9\u0647 \u062d\u0627\u0641\u0638\u0647 \u06a9\u0648\u062a\u0627\u0647 \u0645\u062f\u062a \u0628\u0644\u0646\u062f\u0645\u062f\u062a) \u0646\u0648\u0639\u06cc \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0627\u0632\u06af\u0634\u062a\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0642\u0627\u062f\u0631 \u0627\u0633\u062a \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u06af\u0630\u0634\u062a\u0647 \u0631\u0627 \u0628\u0647 \u062e\u0627\u0637\u0631 \u0628\u0633\u067e\u0627\u0631\u062f \u0648 \u0636\u0645\u0646 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0622\u06cc\u0646\u062f\u0647\u060c \u0627\u06cc\u0646 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u06af\u0630\u0634\u062a\u0647 \u0631\u0627 \u0646\u06cc\u0632 \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u062f.<\/p>\n<p>\u0628\u0647 \u0627\u0646\u062f\u0627\u0632\u0647 \u06a9\u0627\u0641\u06cc \u0645\u0642\u062f\u0645\u0627\u062a\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0627\u0632 LSTM \u0628\u0631\u0627\u06cc \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.<\/p>\n<h2 id=\"predictingfuturestockprices\"><span class=\"ez-toc-section\" id=\"%d9%be%db%8c%d8%b4_%d8%a8%db%8c%d9%86%db%8c_%d9%82%db%8c%d9%85%d8%aa_%d8%b3%d9%87%d8%a7%d9%85_%d8%af%d8%b1_%d8%a2%db%8c%d9%86%d8%af%d9%87\"><\/span>\u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u062f\u0631 \u0622\u06cc\u0646\u062f\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0645\u0634\u0627\u0628\u0647 \u0647\u0631 \u0645\u0634\u06a9\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u06cc\u06af\u0631\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0627\u06cc \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627 \u0628\u0647 \u0645\u0627 \u062f\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0628\u0627\u06cc\u062f \u0645\u0642\u062f\u0627\u0631 \u0645\u0631\u0628\u0648\u0637\u0647 \u0631\u0627 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u0645.  \u0645\u0627 \u0647\u0645\u0627\u0646 \u0645\u0631\u0627\u062d\u0644\u06cc \u0631\u0627 \u06a9\u0647 \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u06cc\u0645 \u0628\u0631\u0627\u06cc \u062d\u0644 \u0647\u0631 \u0645\u0634\u06a9\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u062f\u0647\u06cc\u0645.  \u0627\u06cc\u0646 \u0645\u0631\u0627\u062d\u0644 \u0631\u0627 \u062f\u0646\u0628\u0627\u0644 \u06a9\u0646\u06cc\u062f:<\/p>\n<h3 id=\"importlibraries\"><span class=\"ez-toc-section\" id=\"%d9%88%d8%a7%d8%b1%d8%af%d8%a7%d8%aa_%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87_%d9%87%d8%a7\"><\/span>\u0648\u0627\u0631\u062f\u0627\u062a \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0642\u062f\u0645 \u0627\u0648\u0644\u060c \u0645\u062b\u0644 \u0647\u0645\u06cc\u0634\u0647 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 import \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n<span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<\/code><\/pre>\n<h3 id=\"importdataset\"><span class=\"ez-toc-section\" id=\"%d9%88%d8%a7%d8%b1%d8%af_%da%a9%d8%b1%d8%af%d9%86_%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87\"><\/span>\u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f import \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627  \u0628\u0647 \u062e\u0627\u0637\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647\u060c \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u067e\u0648\u0634\u0647 Datasets \u062f\u0631 \u062f\u0631\u0627\u06cc\u0648 &#8220;E&#8221; \u0630\u062e\u06cc\u0631\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u0628\u0631 \u0627\u06cc\u0646 \u0627\u0633\u0627\u0633 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0645\u0633\u06cc\u0631 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f.<\/p>\n<pre><code class=\"hljs\">apple_training_complete = pd.read_csv(<span class=\"hljs-string\">r'E:\\Datasets\\apple_training.csv'<\/span>)\n<\/code><\/pre>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u06af\u0641\u062a\u06cc\u0645\u060c \u0645\u0627 \u0641\u0642\u0637 \u0628\u0647 \u0642\u06cc\u0645\u062a \u0628\u0627\u0632 \u0634\u062f\u0646 \u0633\u0647\u0627\u0645 \u0639\u0644\u0627\u0642\u0647 \u062f\u0627\u0631\u06cc\u0645.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0645\u0627 \u062a\u0645\u0627\u0645 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u062e\u0648\u062f \u0631\u0627 \u0641\u06cc\u0644\u062a\u0631 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u0648 \u0641\u0642\u0637 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0622\u0646 \u0631\u0627 \u062d\u0641\u0638 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 <strong>\u0628\u0627\u0632 \u06a9\u0646<\/strong> \u0633\u062a\u0648\u0646  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">apple_training_processed = apple_training_complete.iloc(:, <span class=\"hljs-number\">1<\/span>:<span class=\"hljs-number\">2<\/span>).values\n<\/code><\/pre>\n<h3 id=\"datanormalization\"><span class=\"ez-toc-section\" id=\"%d8%b9%d8%a7%d8%af%db%8c_%d8%b3%d8%a7%d8%b2%db%8c_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7\"><\/span>\u0639\u0627\u062f\u06cc \u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06cc\u06a9 \u0642\u0627\u0639\u062f\u0647 \u06a9\u0644\u06cc\u060c \u0647\u0631 \u0632\u0645\u0627\u0646 \u06a9\u0647 \u0627\u0632 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u062f\u060c \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0646\u0631\u0645\u0627\u0644 \u06cc\u0627 \u0645\u0642\u06cc\u0627\u0633 \u06a9\u0646\u06cc\u062f.  \u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f <code>MinMaxScaler<\/code> \u06a9\u0644\u0627\u0633 \u0627\u0632 <code>sklear.preprocessing<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0627\u06cc \u0628\u0631\u0627\u06cc \u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627 \u0628\u06cc\u0646 0 \u0648 1 <code>feature_range<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0628\u0631\u0627\u06cc \u062a\u0639\u06cc\u06cc\u0646 \u0645\u062d\u062f\u0648\u062f\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0642\u06cc\u0627\u0633 \u0634\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> sklearn.preprocessing <span class=\"hljs-keyword\">import<\/span> MinMaxScaler\nscaler = MinMaxScaler(feature_range = (<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">1<\/span>))\n\napple_training_scaled = scaler.fit_transform(apple_training_processed)\n<\/code><\/pre>\n<h3 id=\"converttrainingdatatorightshape\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%a8%d8%af%db%8c%d9%84_%d8%af%d8%a7%d8%af%d9%87_%d9%87%d8%a7%db%8c_%d8%a2%d9%85%d9%88%d8%b2%d8%b4%db%8c_%d8%a8%d9%87_%d8%b4%da%a9%d9%84_%d8%af%d8%b1%d8%b3%d8%aa\"><\/span>\u062a\u0628\u062f\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u062f\u0631\u0633\u062a<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0642\u0628\u0644\u0627\u064b \u06af\u0641\u062a\u0645\u060c \u062f\u0631 \u0645\u0633\u0627\u0626\u0644 \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc\u060c \u0645\u0627 \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u062f\u0631 \u0632\u0645\u0627\u0646 T \u0628\u0631 \u0627\u0633\u0627\u0633 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0631\u0648\u0632\u0647\u0627\u06cc TN \u06a9\u0647 \u062f\u0631 \u0622\u0646 N \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0647\u0631 \u062a\u0639\u062f\u0627\u062f \u0645\u0631\u062d\u0644\u0647 \u0628\u0627\u0634\u062f.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u0642\u0635\u062f \u062f\u0627\u0631\u06cc\u0645 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u0641\u062a\u062a\u0627\u062d\u06cc\u0647 \u0631\u0627 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062f\u0627\u062f\u0647 \u0647\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u0641\u062a\u062a\u0627\u062d\u06cc\u0647 \u062f\u0631 60 \u0631\u0648\u0632 \u06af\u0630\u0634\u062a\u0647  \u0645\u0646 \u0627\u0639\u062f\u0627\u062f \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u0627\u0645\u062a\u062d\u0627\u0646 \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0631\u062f\u0645 \u0648 \u0645\u062a\u0648\u062c\u0647 \u0634\u062f\u0645 \u06a9\u0647 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0646\u062a\u0627\u06cc\u062c \u0632\u0645\u0627\u0646\u06cc \u062d\u0627\u0635\u0644 \u0645\u06cc \u0634\u0648\u062f \u06a9\u0647 \u0627\u0632 60 \u0645\u0631\u062d\u0644\u0647 \u0632\u0645\u0627\u0646\u06cc \u06af\u0630\u0634\u062a\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u062f.  \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0627\u0639\u062f\u0627\u062f \u0645\u062e\u062a\u0644\u0641 \u0631\u0627 \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u062f \u0648 \u0628\u0628\u06cc\u0646\u06cc\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0634\u0645\u0627 \u0686\u06af\u0648\u0646\u0647 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0645\u062c\u0645\u0648\u0639\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0645\u0627 \u0628\u0627\u06cc\u062f \u0634\u0627\u0645\u0644 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u0641\u062a\u062a\u0627\u062d\u06cc\u0647 \u0628\u0631\u0627\u06cc 60 \u0631\u0648\u0632 \u06af\u0630\u0634\u062a\u0647 \u0628\u0627\u0634\u062f \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0628\u0631\u0686\u0633\u0628 \u06cc\u0627 \u0645\u062a\u063a\u06cc\u0631 \u0648\u0627\u0628\u0633\u062a\u0647 \u0628\u0627\u06cc\u062f \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u062f\u0631 \u0631\u0648\u0632 61 \u0628\u0627\u0634\u062f.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u0648\u06cc\u0698\u06af\u06cc \u0648 \u0628\u0631\u0686\u0633\u0628 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f.<\/p>\n<pre><code class=\"hljs\">features_set = ()\nlabels = ()\n<span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">60<\/span>, <span class=\"hljs-number\">1260<\/span>):\n    features_set.append(apple_training_scaled(i-<span class=\"hljs-number\">60<\/span>:i, <span class=\"hljs-number\">0<\/span>))\n    labels.append(apple_training_scaled(i, <span class=\"hljs-number\">0<\/span>))\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u062f\u0648 \u0644\u06cc\u0633\u062a \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc \u06a9\u0646\u06cc\u0645: <code>feature_set<\/code> \u0648 <code>labels<\/code>.  1260 \u0631\u06a9\u0648\u0631\u062f \u062f\u0631 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.  \u0645\u0627 \u06cc\u06a9 \u062d\u0644\u0642\u0647 \u0631\u0627 \u0627\u062c\u0631\u0627 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0627\u0632 \u0631\u06a9\u0648\u0631\u062f 61 \u0634\u0631\u0648\u0639 \u0645\u06cc \u0634\u0648\u062f \u0648 \u062a\u0645\u0627\u0645 60 \u0631\u06a9\u0648\u0631\u062f \u0642\u0628\u0644\u06cc \u0631\u0627 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u06a9\u0646\u062f. <code>feature_set<\/code> \u0641\u0647\u0631\u0633\u062a  \u0631\u06a9\u0648\u0631\u062f 61 \u062f\u0631 \u0630\u062e\u06cc\u0631\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a <code>labels<\/code> \u0641\u0647\u0631\u0633\u062a<\/p>\n<p>\u0645\u0627 \u0628\u0627\u06cc\u062f \u0647\u0631 \u062f\u0648 \u0631\u0627 \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u0645 <code>feature_set<\/code> \u0648 <code>labels<\/code> \u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645\u060c \u0628\u0647 \u0622\u0631\u0627\u06cc\u0647 numpy \u0641\u0647\u0631\u0633\u062a \u06a9\u0646\u06cc\u062f.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">features_set, labels = np.array(features_set), np.array(labels)\n<\/code><\/pre>\n<p>\u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u0622\u0645\u0648\u0632\u0634 LSTM \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0645\u0627\u060c \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0634\u06a9\u0644 \u067e\u0630\u06cc\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 LSTM \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u0645.  \u0645\u0627 \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0641\u0631\u0645\u062a \u0633\u0647 \u0628\u0639\u062f\u06cc \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u0645.  \u0628\u0639\u062f \u0627\u0648\u0644 \u062a\u0639\u062f\u0627\u062f \u0631\u06a9\u0648\u0631\u062f\u0647\u0627 \u06cc\u0627 \u0631\u062f\u06cc\u0641 \u0647\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0627 1260 \u0627\u0633\u062a.  \u0628\u0639\u062f \u062f\u0648\u0645 \u062a\u0639\u062f\u0627\u062f \u06af\u0627\u0645 \u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 60 \u0627\u0633\u062a \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0628\u0639\u062f \u0622\u062e\u0631 \u062a\u0639\u062f\u0627\u062f \u0646\u0634\u0627\u0646\u06af\u0631\u0647\u0627 \u0627\u0633\u062a.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u0641\u0642\u0637 \u0627\u0632 \u06cc\u06a9 \u0648\u06cc\u0698\u06af\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645\u060c \u06cc\u0639\u0646\u06cc <strong>\u0628\u0627\u0632 \u06a9\u0646<\/strong>\u060c \u062a\u0639\u062f\u0627\u062f \u0627\u0646\u062f\u06cc\u06a9\u0627\u062a\u0648\u0631\u0647\u0627 \u06cc\u06a9 \u0639\u062f\u062f \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">features_set = np.reshape(features_set, (features_set.shape(<span class=\"hljs-number\">0<\/span>), features_set.shape(<span class=\"hljs-number\">1<\/span>), <span class=\"hljs-number\">1<\/span>))\n<\/code><\/pre>\n<h3 id=\"trainingthelstm\"><span class=\"ez-toc-section\" id=\"%d8%a2%d9%85%d9%88%d8%b2%d8%b4_lstm\"><\/span>\u0622\u0645\u0648\u0632\u0634 LSTM<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0627\u0632 \u0642\u0628\u0644 \u067e\u0631\u062f\u0627\u0632\u0634 \u06a9\u0631\u062f\u0647 \u0648 \u0628\u0647 \u0641\u0631\u0645\u062a \u0645\u0648\u0631\u062f \u0646\u0638\u0631 \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u0645.  \u0627\u06a9\u0646\u0648\u0646 \u0632\u0645\u0627\u0646 \u0627\u06cc\u062c\u0627\u062f LSTM \u0627\u0633\u062a.  \u0645\u062f\u0644 LSTM \u06a9\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u0628\u0633\u0627\u0632\u06cc\u0645 \u06cc\u06a9 \u0645\u062f\u0644 \u0645\u062a\u0648\u0627\u0644\u06cc \u0628\u0627 \u0686\u0646\u062f\u06cc\u0646 \u0644\u0627\u06cc\u0647 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.  \u0645\u0627 \u0686\u0647\u0627\u0631 \u0644\u0627\u06cc\u0647 LSTM \u0631\u0627 \u0628\u0647 \u0645\u062f\u0644 \u062e\u0648\u062f \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0648 \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0622\u0646 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 \u0645\u062a\u0631\u0627\u06a9\u0645 \u06a9\u0647 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0622\u06cc\u0646\u062f\u0647 \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<p>\u0627\u0648\u0644 \u0628\u06cc\u0627\u06cc\u06cc\u062f import \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u0645\u062f\u0644 \u062e\u0648\u062f \u0628\u0647 \u0622\u0646\u0647\u0627 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">from<\/span> keras.models <span class=\"hljs-keyword\">import<\/span> Sequential\n<span class=\"hljs-keyword\">from<\/span> keras.layers <span class=\"hljs-keyword\">import<\/span> Dense\n<span class=\"hljs-keyword\">from<\/span> keras.layers <span class=\"hljs-keyword\">import<\/span> LSTM\n<span class=\"hljs-keyword\">from<\/span> keras.layers <span class=\"hljs-keyword\">import<\/span> Dropout\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627 \u0645\u0627 \u0622\u0646 \u0631\u0627 \u0648\u0627\u0631\u062f \u06a9\u0631\u062f\u06cc\u0645 <code>Sequential<\/code> \u06a9\u0644\u0627\u0633 \u0627\u0632 <code>keras.models<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0648 <code>Dense<\/code>\u060c <code>LSTM<\/code>\u060c \u0648 <code>Dropout<\/code> \u06a9\u0644\u0627\u0633 \u0647\u0627 \u0627\u0632 <code>keras.layers<\/code> \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647<\/p>\n<p>\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0627\u0648\u0644\u06cc\u0646 \u0642\u062f\u0645\u060c \u0645\u0627 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0646\u0645\u0648\u0646\u0647 \u0633\u0627\u0632\u06cc \u062f\u0627\u0631\u06cc\u0645 <code>Sequential<\/code> \u06a9\u0644\u0627\u0633  \u0627\u06cc\u0646 \u06a9\u0644\u0627\u0633 \u0645\u062f\u0644 \u0645\u0627 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f \u0648 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc LSTM\u060c Dropout \u0648 Dense \u0631\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u062f\u0644 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f<\/p>\n<pre><code class=\"hljs\">model = Sequential()\n<\/code><\/pre>\n<h4 id=\"creatinglstmanddropoutlayers\">\u0627\u06cc\u062c\u0627\u062f \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc LSTM \u0648 Dropout<\/h4>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0644\u0627\u06cc\u0647 LSTM \u0631\u0627 \u0628\u0647 \u0645\u062f\u0644\u06cc \u06a9\u0647 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u06cc\u0645 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">model.add(LSTM(units=<span class=\"hljs-number\">50<\/span>, return_sequences=<span class=\"hljs-literal\">True<\/span>, input_shape=(features_set.shape(<span class=\"hljs-number\">1<\/span>), <span class=\"hljs-number\">1<\/span>)))\n<\/code><\/pre>\n<p>\u0628\u0631\u0627\u06cc \u0627\u0641\u0632\u0648\u062f\u0646 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 \u0628\u0647 \u0645\u062f\u0644 \u062a\u0631\u062a\u06cc\u0628\u06cc\u060c <code>add<\/code> \u0631\u0648\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u062f\u0631\u0648\u0646 <code>add<\/code> \u0631\u0648\u0634\u060c \u0644\u0627\u06cc\u0647 LSTM \u062e\u0648\u062f \u0631\u0627 \u0631\u062f \u06a9\u0631\u062f\u06cc\u0645.  \u0627\u0648\u0644\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0644\u0627\u06cc\u0647 LSTM \u062a\u0639\u062f\u0627\u062f \u0646\u0648\u0631\u0648\u0646 \u0647\u0627 \u06cc\u0627 \u06af\u0631\u0647 \u0647\u0627\u06cc\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u0627 \u062f\u0631 \u0644\u0627\u06cc\u0647 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645.  \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u062f\u0648\u0645 \u0627\u0633\u062a <code>return_sequences<\/code>\u060c \u06a9\u0647 \u0631\u0648\u06cc true \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a \u0632\u06cc\u0631\u0627 \u0645\u0627 \u0644\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0628\u06cc\u0634\u062a\u0631\u06cc \u0628\u0647 \u0645\u062f\u0644 \u0627\u0636\u0627\u0641\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u0627\u0648\u0644\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0628\u0647 <code>input_shape<\/code> \u062a\u0639\u062f\u0627\u062f \u0645\u0631\u0627\u062d\u0644 \u0632\u0645\u0627\u0646\u06cc \u0627\u0633\u062a \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0622\u062e\u0631\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u062a\u0639\u062f\u0627\u062f \u0646\u0634\u0627\u0646\u06af\u0631\u0647\u0627 \u0627\u0633\u062a.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u06a9\u0646\u0648\u0646 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 \u062d\u0630\u0641\u06cc \u0628\u0647 \u0645\u062f\u0644 \u062e\u0648\u062f \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645.  \u0644\u0627\u06cc\u0647 Dropout \u0628\u0631\u0627\u06cc \u062c\u0644\u0648\u06af\u06cc\u0631\u06cc \u0627\u0632 \u0628\u0631\u0627\u0632\u0634 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u0634\u0648\u062f\u060c \u06a9\u0647 \u067e\u062f\u06cc\u062f\u0647 \u0627\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0647\u062a\u0631 \u0639\u0645\u0644 \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u062f\u0631 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0648\u0646  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0627\u0641\u0632\u0648\u062f\u0646 \u0644\u0627\u06cc\u0647 \u062d\u0630\u0641\u06cc \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f.<\/p>\n<pre><code class=\"hljs\">model.add(Dropout(<span class=\"hljs-number\">0.2<\/span>))\n<\/code><\/pre>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0633\u0647 \u0644\u0627\u06cc\u0647 LSTM \u0648 dropout \u0631\u0627 \u0628\u0647 \u0645\u062f\u0644 \u062e\u0648\u062f \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f.<\/p>\n<pre><code class=\"hljs\">model.add(LSTM(units=<span class=\"hljs-number\">50<\/span>, return_sequences=<span class=\"hljs-literal\">True<\/span>))\nmodel.add(Dropout(<span class=\"hljs-number\">0.2<\/span>))\n\nmodel.add(LSTM(units=<span class=\"hljs-number\">50<\/span>, return_sequences=<span class=\"hljs-literal\">True<\/span>))\nmodel.add(Dropout(<span class=\"hljs-number\">0.2<\/span>))\n\nmodel.add(LSTM(units=<span class=\"hljs-number\">50<\/span>))\nmodel.add(Dropout(<span class=\"hljs-number\">0.2<\/span>))\n<\/code><\/pre>\n<h4 id=\"creatingdenselayer\">\u0627\u06cc\u062c\u0627\u062f \u0644\u0627\u06cc\u0647 \u0645\u062a\u0631\u0627\u06a9\u0645<\/h4>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646\u06a9\u0647 \u0645\u062f\u0644\u0645\u0627\u0646 \u0642\u0648\u06cc \u062a\u0631 \u0634\u0648\u062f\u060c \u06cc\u06a9 \u0644\u0627\u06cc\u0647 \u0645\u062a\u0631\u0627\u06a9\u0645 \u062f\u0631 \u0627\u0646\u062a\u0647\u0627\u06cc \u0645\u062f\u0644 \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.  \u062a\u0639\u062f\u0627\u062f \u0646\u0648\u0631\u0648\u0646 \u0647\u0627 \u062f\u0631 \u0644\u0627\u06cc\u0647 \u0645\u062a\u0631\u0627\u06a9\u0645 \u0631\u0648\u06cc 1 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u0634\u0648\u062f \u0632\u06cc\u0631\u0627 \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u062d\u062f \u0631\u0627 \u062f\u0631 \u062e\u0631\u0648\u062c\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<pre><code class=\"hljs\">model.add(Dense(units = <span class=\"hljs-number\">1<\/span>))\n<\/code><\/pre>\n<h4 id=\"modelcompilation\">\u062a\u062f\u0648\u06cc\u0646 \u0645\u062f\u0644<\/h4>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0642\u0628\u0644 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646 \u0631\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0647\u06cc\u0645\u060c \u0628\u0627\u06cc\u062f LSTM \u062e\u0648\u062f \u0631\u0627 \u06a9\u0627\u0645\u067e\u0627\u06cc\u0644 \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0645\u062f\u0644 \u0645\u0627 \u0631\u0627 \u06a9\u0627\u0645\u067e\u0627\u06cc\u0644 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<pre><code class=\"hljs\">model.<span class=\"hljs-built_in\">compile<\/span>(optimizer = <span class=\"hljs-string\">'adam'<\/span>, loss = <span class=\"hljs-string\">'mean_squared_error'<\/span>)\n<\/code><\/pre>\n<p>\u0645\u062a\u062f \u06a9\u0627\u0645\u067e\u0627\u06cc\u0644 \u0631\u0627 \u0635\u062f\u0627 \u0645\u06cc \u0632\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0634\u06cc \u0645\u062f\u0644 \u062a\u0631\u062a\u06cc\u0628\u06cc \u06a9\u0647 \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0627 &#8220;\u0645\u062f\u0644&#8221; \u0627\u0633\u062a.  \u0645\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Mean_squared_error\">\u062e\u0637\u0627\u06cc \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u0631\u0628\u0639\u0627\u062a<\/a> \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062a\u0627\u0628\u0639 \u0636\u0631\u0631 \u0648 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0647\u0634 \u062a\u0644\u0641\u0627\u062a \u06cc\u0627 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0627\u0632 <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/machinelearningmastery.com\/adam-optimization-algorithm-for-deep-learning\/\">\u0622\u062f\u0645<\/a> \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632<\/p>\n<h4 id=\"algorithmtraining\">\u0622\u0645\u0648\u0632\u0634 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645<\/h4>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0632\u0645\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644\u06cc \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u0686\u0646\u062f \u0645\u0631\u062d\u0644\u0647 \u0642\u0628\u0644 \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0631\u062f\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0645\u0627 \u0628\u0627 <code>fit<\/code> \u0631\u0648\u0634 \u0631\u0648\u06cc \u0631\u0627 <code>model<\/code> \u0648 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627 \u0648 \u0628\u0631\u0686\u0633\u0628 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0645\u0627 \u0631\u0627 \u0645\u0637\u0627\u0628\u0642 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">model.fit(features_set, labels, epochs = <span class=\"hljs-number\">100<\/span>, batch_size = <span class=\"hljs-number\">32<\/span>)\n<\/code><\/pre>\n<p>\u0628\u0633\u062a\u0647 \u0628\u0647 \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u0634\u0645\u0627\u060c \u0622\u0645\u0648\u0632\u0634 \u0645\u062f\u0644 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u06a9\u0645\u06cc \u0637\u0648\u0644 \u0628\u06a9\u0634\u062f.<\/p>\n<h3 id=\"testingourlstm\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%b3%d8%aa_lstm_%d9%85%d8%a7\"><\/span>\u062a\u0633\u062a LSTM \u0645\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u0627 LSTM \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u0645\u0648\u0641\u0642\u06cc\u062a \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u0647 \u0627\u06cc\u0645\u060c \u0627\u06a9\u0646\u0648\u0646 \u0632\u0645\u0627\u0646 \u0622\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0639\u0645\u0644\u06a9\u0631\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u062e\u0648\u062f \u0631\u0627 \u0622\u0632\u0645\u0627\u06cc\u0634 \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u0627\u06cc\u0646 \u062a\u0633\u062a \u0628\u0627 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u0641\u062a\u062a\u0627\u062d\u06cc\u0647 \u0628\u0631\u0627\u06cc \u0645\u0627\u0647 \u0698\u0627\u0646\u0648\u06cc\u0647 2018 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u0648\u0644 \u0628\u06cc\u0627\u06cc\u06cc\u062f import \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0633\u062a \u0645\u0627  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">apple_testing_complete = pd.read_csv(<span class=\"hljs-string\">r'E:\\Datasets\\apple_testing.csv'<\/span>)\napple_testing_processed = apple_testing_complete.iloc(:, <span class=\"hljs-number\">1<\/span>:<span class=\"hljs-number\">2<\/span>).values\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0628\u0627\u0644\u0627\u060c \u0645\u0627 import \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0645\u0627 \u0648 \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0628\u0627 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u06cc\u0645\u060c \u0647\u0645\u0647 \u0633\u062a\u0648\u0646\u200c\u0647\u0627 \u0631\u0627 \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062d\u0630\u0641 \u06a9\u0631\u062f\u06cc\u0645 \u0628\u0647 \u062c\u0632 \u0633\u062a\u0648\u0646\u06cc \u06a9\u0647 \u0634\u0627\u0645\u0644 \u0642\u06cc\u0645\u062a\u200c\u0647\u0627\u06cc \u0633\u0647\u0627\u0645 \u0627\u0641\u062a\u062a\u0627\u062d\u06cc\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u06af\u0631 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u0641\u062a\u062a\u0627\u062d\u06cc\u0647 \u0628\u0631\u0627\u06cc \u0645\u0627\u0647 \u0698\u0627\u0646\u0648\u06cc\u0647 2018 \u0628\u0631 \u0627\u0633\u0627\u0633 \u062a\u0627\u0631\u06cc\u062e \u0647\u0627 \u062a\u0631\u0633\u06cc\u0645 \u0634\u0648\u062f\u060c \u0628\u0627\u06cc\u062f \u0646\u0645\u0648\u062f\u0627\u0631 \u0632\u06cc\u0631 \u0631\u0627 \u0645\u0634\u0627\u0647\u062f\u0647 \u06a9\u0646\u06cc\u062f.<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/time-series-analysis-lstm-using-pythons-keras-library-2.png\" alt=\"\" title=\"\"><\/p>\n<p>\u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0631\u0648\u0646\u062f \u0628\u0647 \u0634\u062f\u062a \u063a\u06cc\u0631\u062e\u0637\u06cc \u0627\u0633\u062a.  \u062f\u0631 \u0645\u062c\u0645\u0648\u0639\u060c \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u062f\u0631 \u0627\u0628\u062a\u062f\u0627\u06cc \u0645\u0627\u0647 \u0628\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0627\u0646\u062f\u06a9\u06cc \u0647\u0645\u0631\u0627\u0647 \u0628\u0648\u062f\u0647 \u0648 \u062f\u0631 \u067e\u0627\u06cc\u0627\u0646 \u0645\u0627\u0647 \u0628\u0627 \u0631\u0648\u0646\u062f \u0646\u0632\u0648\u0644\u06cc \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0627\u0646\u062f\u06a9\u06cc \u0627\u0641\u0632\u0627\u06cc\u0634 \u0648 \u06a9\u0627\u0647\u0634 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u062f\u0631 \u0628\u06cc\u0646 \u0622\u0646\u200c\u0647\u0627 \u0645\u0648\u0627\u062c\u0647 \u0627\u0633\u062a.  \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0686\u0646\u06cc\u0646 \u0631\u0648\u0646\u062f\u06cc \u0628\u0633\u06cc\u0627\u0631 \u062f\u0634\u0648\u0627\u0631 \u0627\u0633\u062a.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0622\u06cc\u0627 LSTM \u06a9\u0647 \u0645\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u06cc\u0645 \u0648\u0627\u0642\u0639\u0627\u064b \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0686\u0646\u06cc\u0646 \u0631\u0648\u0646\u062f\u06cc \u0631\u0627 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u06a9\u0646\u062f \u06cc\u0627 \u062e\u06cc\u0631.<\/p>\n<h4 id=\"convertingtestdatatorightformat\">\u062a\u0628\u062f\u06cc\u0644 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0633\u062a \u0628\u0647 \u0641\u0631\u0645\u062a \u0645\u0646\u0627\u0633\u0628<\/h4>\n<p>\u0628\u0631\u0627\u06cc \u0647\u0631 \u0631\u0648\u0632 \u0627\u0632 \u0698\u0627\u0646\u0648\u06cc\u0647 2018\u060c \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u0645 \u0645\u062c\u0645\u0648\u0639\u0647 \u0648\u06cc\u0698\u06af\u06cc\u200c\u0647\u0627\u06cc \u0645\u0627 \u0634\u0627\u0645\u0644 \u0642\u06cc\u0645\u062a\u200c\u0647\u0627\u06cc \u0633\u0647\u0627\u0645 \u0627\u0641\u062a\u062a\u0627\u062d\u06cc\u0647 \u0628\u0631\u0627\u06cc 60 \u0631\u0648\u0632 \u06af\u0630\u0634\u062a\u0647 \u0628\u0627\u0634\u062f.  \u0628\u0631\u0627\u06cc \u0627\u0648\u0644 \u0698\u0627\u0646\u0648\u06cc\u0647 \u0628\u0647 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 60 \u0631\u0648\u0632 \u0642\u0628\u0644 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062e\u0648\u062f \u0631\u0627 \u0642\u0628\u0644 \u0627\u0632 \u067e\u06cc\u0634 \u067e\u0631\u062f\u0627\u0632\u0634 \u0628\u0647 \u0647\u0645 \u0645\u062a\u0635\u0644 \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">apple_total = pd.concat((apple_training_complete(<span class=\"hljs-string\">'Open'<\/span>), apple_testing_complete(<span class=\"hljs-string\">'Open'<\/span>)), axis=<span class=\"hljs-number\">0<\/span>)\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0648\u0631\u0648\u062f\u06cc \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062e\u0648\u062f \u0631\u0627 \u0622\u0645\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.  \u0648\u0631\u0648\u062f\u06cc \u0647\u0631 \u0631\u0648\u0632 \u0628\u0627\u06cc\u062f \u0634\u0627\u0645\u0644 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u0641\u062a\u062a\u0627\u062d\u06cc\u0647 \u0628\u0631\u0627\u06cc 60 \u0631\u0648\u0632 \u0642\u0628\u0644 \u0628\u0627\u0634\u062f.  \u06cc\u0639\u0646\u06cc \u0628\u0631\u0627\u06cc 20 \u0631\u0648\u0632 \u0622\u0632\u0645\u0648\u0646 \u0628\u0631\u0627\u06cc \u0645\u0627\u0647 \u0698\u0627\u0646\u0648\u06cc\u0647 2018 \u0648 60 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u0632 60 \u0631\u0648\u0632 \u06af\u0630\u0634\u062a\u0647 \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0648\u0627\u06a9\u0634\u06cc \u0622\u0646 80 \u0645\u0642\u062f\u0627\u0631 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f.<\/p>\n<pre><code class=\"hljs\">test_inputs = apple_total(<span class=\"hljs-built_in\">len<\/span>(apple_total) - <span class=\"hljs-built_in\">len<\/span>(apple_testing_complete) - <span class=\"hljs-number\">60<\/span>:).values\n<\/code><\/pre>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u0646\u062c\u0627\u0645 \u062f\u0627\u062f\u06cc\u0645\u060c \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062a\u0633\u062a \u062e\u0648\u062f \u0631\u0627 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u06a9\u0646\u06cc\u0645.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">test_inputs = test_inputs.reshape(-<span class=\"hljs-number\">1<\/span>,<span class=\"hljs-number\">1<\/span>)\ntest_inputs = scaler.transform(test_inputs)\n<\/code><\/pre>\n<p>\u0645\u0627 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0645\u0642\u06cc\u0627\u0633\u200c\u0628\u0646\u062f\u06cc \u06a9\u0631\u062f\u06cc\u0645\u060c \u0627\u06a9\u0646\u0648\u0646 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0645\u062c\u0645\u0648\u0639\u0647 \u0648\u0631\u0648\u062f\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0646\u0647\u0627\u06cc\u06cc \u062e\u0648\u062f \u0631\u0627 \u0622\u0645\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0634\u0627\u0645\u0644 60 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0642\u0628\u0644\u06cc \u0628\u0631\u0627\u06cc \u0645\u0627\u0647 \u0698\u0627\u0646\u0648\u06cc\u0647 \u0627\u0633\u062a.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">test_features = ()\n<span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">60<\/span>, <span class=\"hljs-number\">80<\/span>):\n    test_features.append(test_inputs(i-<span class=\"hljs-number\">60<\/span>:i, <span class=\"hljs-number\">0<\/span>))\n<\/code><\/pre>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0645\u0627 \u0628\u0627\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0647 \u0641\u0631\u0645\u062a \u0633\u0647 \u0628\u0639\u062f\u06cc \u062a\u0628\u062f\u06cc\u0644 \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646 \u0627\u0632 \u0622\u0646 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0648\u0631\u0648\u062f\u06cc LSTM \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">test_features = np.array(test_features)\ntest_features = np.reshape(test_features, (test_features.shape(<span class=\"hljs-number\">0<\/span>), test_features.shape(<span class=\"hljs-number\">1<\/span>), <span class=\"hljs-number\">1<\/span>))\n<\/code><\/pre>\n<h4 id=\"makingpredictions\">\u067e\u06cc\u0634\u06af\u0648\u06cc\u06cc<\/h4>\n<p>\u0627\u06a9\u0646\u0648\u0646 \u0632\u0645\u0627\u0646 \u062f\u06cc\u062f\u0646 \u062c\u0627\u062f\u0648 \u0627\u0633\u062a.  \u0645\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u062e\u0648\u062f \u0631\u0627 \u0627\u0632 \u0642\u0628\u0644 \u067e\u0631\u062f\u0627\u0632\u0634 \u06a9\u0631\u062f\u06cc\u0645 \u0648 \u0627\u06a9\u0646\u0648\u0646 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0622\u0646 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u0641\u0642\u0637 \u0628\u0627\u06cc\u062f \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f <code>predict<\/code> \u0631\u0648\u0634 \u0631\u0648\u06cc \u0645\u062f\u0644\u06cc \u06a9\u0647 \u0645\u0627 \u0622\u0645\u0648\u0632\u0634 \u062f\u0627\u062f\u06cc\u0645  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">predictions = model.predict(test_features)\n<\/code><\/pre>\n<p>\u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0645\u0627 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u06a9\u0631\u062f\u06cc\u0645\u060c \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0647\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647 \u062a\u0648\u0633\u0637 LSTM \u0646\u06cc\u0632 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0646\u062f\u06cc \u0634\u062f\u0647 \u0627\u0646\u062f.  \u0645\u0627 \u0628\u0627\u06cc\u062f \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u0642\u06cc\u0627\u0633 \u0634\u062f\u0647 \u0631\u0627 \u0628\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0648\u0627\u0642\u0639\u06cc \u0622\u0646\u0647\u0627 \u0628\u0631\u06af\u0631\u062f\u0627\u0646\u06cc\u0645.  \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 <code>\u00ecnverse_transform<\/code> \u0631\u0648\u0634 \u0634\u06cc \u0645\u0642\u06cc\u0627\u0633\u200c\u06a9\u0646\u0646\u062f\u0647 \u06a9\u0647 \u062f\u0631 \u0637\u0648\u0644 \u0622\u0645\u0648\u0632\u0634 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0631\u062f\u06cc\u0645.  \u0628\u0647 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u062f\u0642\u062a \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">predictions = scaler.inverse_transform(predictions)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0628\u06cc\u0646\u06cc\u0645 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0645\u0627 \u0686\u0642\u062f\u0631 \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0622\u062a\u06cc \u0631\u0627 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a.  \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u0632\u06cc\u0631 \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">plt.figure(figsize=(<span class=\"hljs-number\">10<\/span>,<span class=\"hljs-number\">6<\/span>))\nplt.plot(apple_testing_processed, color=<span class=\"hljs-string\">'blue'<\/span>, label=<span class=\"hljs-string\">'Actual Apple Stock Price'<\/span>)\nplt.plot(predictions , color=<span class=\"hljs-string\">'red'<\/span>, label=<span class=\"hljs-string\">'Predicted Apple Stock Price'<\/span>)\nplt.title(<span class=\"hljs-string\">'Apple Stock Price Prediction'<\/span>)\nplt.xlabel(<span class=\"hljs-string\">'Date'<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Apple Stock Price'<\/span>)\nplt.legend()\nplt.show()\n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/time-series-analysis-lstm-using-pythons-keras-library-3.png\" alt=\"\" title=\"\"><\/p>\n<p>\u062f\u0631 \u062e\u0631\u0648\u062c\u06cc\u060c \u062e\u0637 \u0622\u0628\u06cc \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 \u0642\u06cc\u0645\u062a \u0648\u0627\u0642\u0639\u06cc \u0633\u0647\u0627\u0645 \u0628\u0631\u0627\u06cc \u0645\u0627\u0647 \u0698\u0627\u0646\u0648\u06cc\u0647 2018 \u0627\u0633\u062a\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u062e\u0637 \u0642\u0631\u0645\u0632 \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 \u0642\u06cc\u0645\u062a \u0647\u0627\u06cc \u0633\u0647\u0627\u0645 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a.  \u0634\u0645\u0627 \u0628\u0647 \u0648\u0636\u0648\u062d \u0645\u06cc \u0628\u06cc\u0646\u06cc\u062f \u06a9\u0647 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0645\u0627 \u062a\u0648\u0627\u0646\u0633\u062a\u0647 \u0627\u0633\u062a \u0631\u0648\u0646\u062f \u06a9\u0644\u06cc \u0631\u0627 \u062b\u0628\u062a \u06a9\u0646\u062f.  \u0642\u06cc\u0645\u062a\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc\u200c\u0634\u062f\u0647 \u0646\u06cc\u0632 \u062f\u0631 \u0627\u0628\u062a\u062f\u0627 \u06cc\u06a9 \u0631\u0648\u0646\u062f \u0635\u0639\u0648\u062f\u06cc \u0648 \u0633\u067e\u0633 \u06cc\u06a9 \u0631\u0648\u0646\u062f \u0646\u0632\u0648\u0644\u06cc \u06cc\u0627 \u0646\u0632\u0648\u0644\u06cc \u062f\u0631 \u067e\u0627\u06cc\u0627\u0646 \u0645\u0634\u0627\u0647\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f.  \u0634\u06af\u0641\u062a \u0627\u0646\u06af\u06cc\u0632 \u0627\u0633\u062a\u060c \u0627\u06cc\u0646\u0637\u0648\u0631 \u0646\u06cc\u0633\u062a\u061f<\/p>\n<h3 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0634\u0628\u06a9\u0647 \u062d\u0627\u0641\u0638\u0647 \u06a9\u0648\u062a\u0627\u0647 \u0645\u062f\u062a \u0628\u0644\u0646\u062f \u0645\u062f\u062a (LSTM) \u06cc\u06a9\u06cc \u0627\u0632 \u0631\u0627\u06cc\u062c \u062a\u0631\u06cc\u0646 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u0627\u0633\u062a.  \u062a\u0648\u0627\u0646\u0627\u06cc\u06cc LSTM \u0628\u0631\u0627\u06cc \u0628\u0647 \u062e\u0627\u0637\u0631 \u0633\u067e\u0631\u062f\u0646 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0642\u0628\u0644\u06cc\u060c \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0686\u0646\u06cc\u0646 \u06a9\u0627\u0631\u0647\u0627\u06cc\u06cc \u0627\u06cc\u062f\u0647 \u0622\u0644 \u0645\u06cc \u06a9\u0646\u062f.  \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u062f\u06cc\u062f\u06cc\u0645 \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 LSTM \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u0627\u067e\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645.  \u067e\u06cc\u0634\u0646\u0647\u0627\u062f \u0645\u06cc\u200c\u06a9\u0646\u0645 \u0633\u0647\u0627\u0645 \u0628\u0631\u062e\u06cc \u0633\u0627\u0632\u0645\u0627\u0646\u200c\u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u0645\u0627\u0646\u0646\u062f \u06af\u0648\u06af\u0644 \u06cc\u0627 \u0645\u0627\u06cc\u06a9\u0631\u0648\u0633\u0627\u0641\u062a \u0631\u0627 \u0627\u0632 Yahoo Finance \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u062f \u0648 \u0628\u0628\u06cc\u0646\u06cc\u062f \u0622\u06cc\u0627 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645 \u0634\u0645\u0627 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0631\u0648\u0646\u062f\u0647\u0627 \u0631\u0627 \u062b\u0628\u062a \u06a9\u0646\u062f \u06cc\u0627 \u062e\u06cc\u0631.<\/p>\n<\/div>\n<p><script>\n                        !function(f,b,e,v,n,t,s)\n                        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                        n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                        if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                        n.queue=();t=b.createElement(e);t.async=!0;\n                        t.src=v;s=b.getElementsByTagName(e)(0);\n                        s.parentNode.insertBefore(t,s)}(window, document,'script',\n                        'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n                        fbq('init', '525232124909042');\n                        fbq('track', 'PageView');\n                    <\/script>    (\u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062c\u0645\u0647)# python<br \/>\n<br \/><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-01-26 05:32:04<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;16513&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;bottom&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628&quot;,&quot;legend&quot;:&quot;0\\\/5 (0 \u0631\u0627\u06cc)&quot;,&quot;size&quot;:&quot;30&quot;,&quot;title&quot;:&quot;\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc \u0628\u0627 LSTM \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 Keras Python&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} ({count} \u0631\u0627\u06cc)&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 24px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 8<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u0628\u0647 \u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0631 \u0631\u0648\u0646\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u06cc\u06a9 \u062f\u0648\u0631\u0647 \u0632\u0645\u0627\u0646\u06cc \u0627\u0634\u0627\u0631\u0647 \u062f\u0627\u0631\u062f. \u062a\u062d\u0644\u06cc\u0644 \u0633\u0631\u06cc \u0632\u0645\u0627\u0646\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u062f\u0627\u0631\u062f. \u06cc\u06a9\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u060c \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0627\u0631\u0632\u0634 \u0622\u06cc\u0646\u062f\u0647 \u06cc\u06a9 \u0622\u06cc\u062a\u0645 \u0627\u0633\u062a \u0631\u0648\u06cc \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc \u06af\u0630\u0634\u062a\u0647 \u0622\u0646 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0642\u06cc\u0645\u062a \u0633\u0647\u0627\u0645 \u062f\u0631 \u0622\u06cc\u0646\u062f\u0647 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0628\u0647\u062a\u0631\u06cc\u0646 \u0646\u0645\u0648\u0646\u0647 \u0627\u0632 \u0686\u0646\u06cc\u0646 \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc\u06cc \u0627\u0633\u062a. [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":16514,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-16513","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","category-programming"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16513","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/comments?post=16513"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16513\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media\/16514"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=16513"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=16513"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=16513"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}