{"id":16660,"date":"2024-01-29T06:02:16","date_gmt":"2024-01-29T02:32:16","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/"},"modified":"2024-01-29T06:02:16","modified_gmt":"2024-01-29T02:32:16","slug":"%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/","title":{"rendered":"\u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc TensorFlow"},"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%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/#%d9%86%d8%b5%d8%a8_%d9%88_%d8%b1%d8%a7%d9%87_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%db%8c\" >\u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\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%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/#%d8%a7%d8%ac%d8%b2%d8%a7%db%8c_%d8%a7%d8%b5%d9%84%db%8c_api\" >\u0627\u062c\u0632\u0627\u06cc \u0627\u0635\u0644\u06cc API<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/#%d8%aa%d8%a7%d9%86%d8%b3%d9%88%d8%b1%d9%87%d8%a7\" >\u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/#%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1%d9%87%d8%a7\" >\u0646\u0645\u0648\u062f\u0627\u0631\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%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/#%d8%ac%d9%84%d8%b3%d8%a7%d8%aa\" >\u062c\u0644\u0633\u0627\u062a<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/#%d9%85%d8%af%d9%84_%d8%b4%d8%a8%da%a9%d9%87_%d8%b9%d8%b5%d8%a8%db%8c\" >\u0645\u062f\u0644 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/#%d9%85%d8%ac%d9%85%d9%88%d8%b9%d9%87_%d8%af%d8%a7%d8%af%d9%87_%d8%b9%d9%86%d8%a8%db%8c%d9%87\" >\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0639\u0646\u0628\u06cc\u0647<\/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%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/#%d9%85%d8%af%d9%84_%d9%88_%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c\" >\u0645\u062f\u0644 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc<\/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%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/#%d8%a7%d8%b1%d8%b2%db%8c%d8%a7%d8%a8%db%8c_%d9%85%d8%af%d9%84\" >\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/#%d9%85%d9%86%d8%a7%d8%a8%d8%b9\" >\u0645\u0646\u0627\u0628\u0639<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%a2%d9%85%d9%88%d8%b2%d8%b4-%d8%b4%d8%a8%da%a9%d9%87-%d8%b9%d8%b5%d8%a8%db%8c-tensorflow\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87_%da%af%db%8c%d8%b1%db%8c\" >\u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc<\/a><\/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<p>TensorFlow \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0645\u0646\u0628\u0639 \u0628\u0627\u0632 \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0633\u06cc\u0633\u062a\u0645 \u0646\u0633\u0644 \u062f\u0648\u0645 Google Brain \u0627\u0633\u062a\u060c \u067e\u0633 \u0627\u0632 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646\u06cc DistBelief \u0628\u0627 \u0645\u0646\u0628\u0639 \u0646\u0632\u062f\u06cc\u06a9\u060c \u0648 \u062a\u0648\u0633\u0637 Google \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u062a\u062d\u0642\u06cc\u0642\u0627\u062a\u06cc \u0648 \u062a\u0648\u0644\u06cc\u062f\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0647\u0627\u06cc TensorFlow \u0631\u0627 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646 \u0628\u0647 \u0686\u0646\u062f \u0632\u0628\u0627\u0646 \u0646\u0648\u0634\u062a: Python\u060c Go\u060c Java \u0648 C. \u0627\u06cc\u0646 \u067e\u0633\u062a \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0646\u0633\u062e\u0647 Python \u0622\u0646 \u0627\u0633\u062a \u0648 \u0628\u0647 \u0646\u0635\u0628 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u060c \u0627\u062c\u0632\u0627\u06cc \u067e\u0627\u06cc\u0647 \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 \u0648 \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u067e\u06cc\u0634\u200c\u062e\u0648\u0631 \u0627\u0632 \u0627\u0628\u062a\u062f\u0627 \u0645\u06cc\u200c\u067e\u0631\u062f\u0627\u0632\u062f. \u0628\u0631\u0627\u06cc \u0627\u0646\u062c\u0627\u0645 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0631\u0648\u06cc \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0648\u0627\u0642\u0639\u06cc<\/p>\n<p>\u0645\u062f\u062a \u0632\u0645\u0627\u0646 \u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0627\u063a\u0644\u0628 \u062f\u0631 \u0633\u0646\u0627\u0631\u06cc\u0648\u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u062a\u0631 \u06cc\u06a9 \u06af\u0644\u0648\u06af\u0627\u0647 \u0627\u0633\u062a.  \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0634\u0628\u06a9\u0647\u200c\u0647\u0627\u06cc \u0639\u0635\u0628\u06cc\u060c \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0633\u0627\u06cc\u0631 \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc ML\u060c \u0639\u0645\u062f\u062a\u0627\u064b \u0628\u0627 \u0636\u0631\u0628\u200c\u0647\u0627\u06cc \u0645\u0627\u062a\u0631\u06cc\u0633\u06cc \u06a9\u0627\u0631 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f\u060c \u0627\u062c\u0631\u0627\u06cc \u0622\u0646\u0647\u0627 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u0627\u0633\u062a. \u0631\u0648\u06cc \u0648\u0627\u062d\u062f\u0647\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u06af\u0631\u0627\u0641\u06cc\u06a9\u06cc (GPU) \u0628\u0647 \u062c\u0627\u06cc \u0631\u0648\u06cc \u0648\u0627\u062d\u062f\u0647\u0627\u06cc \u067e\u0631\u062f\u0627\u0632\u0634 \u0645\u0631\u06a9\u0632\u06cc \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f (CPU).<\/p>\n<p>TensorFlow \u0627\u0632 \u0647\u0631 \u062f\u0648 CPU \u0648 GPU \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0645\u06cc \u06a9\u0646\u062f \u0648 \u06af\u0648\u06af\u0644 \u062d\u062a\u06cc \u0633\u062e\u062a \u0627\u0641\u0632\u0627\u0631 \u062a\u062e\u0635\u0635\u06cc \u062e\u0648\u062f \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u062f\u0631 \u0641\u0636\u0627\u06cc \u0627\u0628\u0631\u06cc \u062a\u0648\u0644\u06cc\u062f \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/cloud.google.com\/tpu\/\" class=\"broken_link\">\u0648\u0627\u062d\u062f \u067e\u0631\u062f\u0627\u0632\u0634 \u062a\u0627\u0646\u0633\u0648\u0631 (TPU)<\/a>\u060c \u06a9\u0647 \u062a\u0648\u0644\u06cc\u062f \u0645\u06cc \u06a9\u0646\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/cloud.google.com\/blog\/big-data\/2017\/05\/an-in-depth-look-at-googles-first-tensor-processing-unit-tpu\" class=\"broken_link\">\u0628\u0647\u062a\u0631\u06cc\u0646 \u0639\u0645\u0644\u06a9\u0631\u062f<\/a> \u062f\u0631 \u0645\u06cc\u0627\u0646 \u0648\u0627\u062d\u062f\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u067e\u0631\u062f\u0627\u0632\u0634<\/p>\n<h2 id=\"installation\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%b5%d8%a8_%d9%88_%d8%b1%d8%a7%d9%87_%d8%a7%d9%86%d8%af%d8%a7%d8%b2%db%8c\"><\/span>\u0646\u0635\u0628 \u0648 \u0631\u0627\u0647 \u0627\u0646\u062f\u0627\u0632\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 TPU \u0647\u0627 \u0641\u0642\u0637 \u062f\u0631 \u0641\u0636\u0627\u06cc \u0627\u0628\u0631\u06cc \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0647\u0633\u062a\u0646\u062f\u060c \u0646\u0635\u0628 TensorFlow \u0631\u0648\u06cc \u06cc\u06a9 \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631 \u0645\u062d\u0644\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0645\u0639\u0645\u0627\u0631\u06cc \u067e\u0631\u062f\u0627\u0632\u0634\u06af\u0631 CPU \u06cc\u0627 GPU \u0631\u0627 \u0647\u062f\u0641 \u0642\u0631\u0627\u0631 \u062f\u0647\u062f.  \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0646\u0633\u062e\u0647 GPU\u060c \u0631\u0627\u06cc\u0627\u0646\u0647 \u0634\u0645\u0627 \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 NVIDIA \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u062a\u0639\u062f\u0627\u062f\u06cc \u06a9\u0627\u0631\u062a \u06af\u0631\u0627\u0641\u06cc\u06a9 \u062f\u06cc\u06af\u0631 \u0631\u0627 \u0628\u0631\u0622\u0648\u0631\u062f\u0647 \u06a9\u0646\u062f. <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.tensorflow.org\/install\/install_linux#nvidia_requirements_to_run_tensorflow_with_gpu_support\" class=\"broken_link\">\u0627\u0644\u0632\u0627\u0645\u0627\u062a<\/a>.<\/p>\n<p>\u0627\u0633\u0627\u0633\u0627\u064b \u062d\u062f\u0627\u0642\u0644 5 \u06af\u0632\u06cc\u0646\u0647 \u0645\u062e\u062a\u0644\u0641 \u0628\u0631\u0627\u06cc \u0646\u0635\u0628 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632: virtualenv\u060c pip\u060c \u062f\u0627\u06a9\u0631\u060c \u0622\u0646\u0627\u06a9\u0648\u0646\u062f\u0627 \u0648 \u0646\u0635\u0628 \u0627\u0632 \u0645\u0646\u0628\u0639.<\/p>\n<ul>\n<li>\u0646\u0635\u0628 \u0628\u0627 virtualenv \u0648 Docker \u0645\u0627 \u0631\u0627 \u0642\u0627\u062f\u0631 \u0645\u06cc\u200c\u0633\u0627\u0632\u062f \u062a\u0627 TensorFlow \u0631\u0627 \u062f\u0631 \u06cc\u06a9 \u0645\u062d\u06cc\u0637 \u062c\u062f\u0627\u06af\u0627\u0646\u0647\u060c \u062c\u062f\u0627 \u0627\u0632 \u0633\u0627\u06cc\u0631 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0634\u0645\u0627\u060c \u0646\u0635\u0628 \u06a9\u0646\u06cc\u0645.<\/li>\n<li>Anaconda \u06cc\u06a9 \u062a\u0648\u0632\u06cc\u0639 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0634\u0627\u0645\u0644 \u0645\u062c\u0645\u0648\u0639\u0647 \u0628\u0632\u0631\u06af\u06cc \u0627\u0632 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0647\u0627 \u0628\u0631\u0627\u06cc \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0639\u0644\u0645\u06cc\u060c \u0627\u0632 \u062c\u0645\u0644\u0647 TensorFlow \u0627\u0633\u062a.<\/li>\n<li>pip  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0646\u0635\u0628 \u06a9\u0646\u0646\u062f\u0647 &#8220;\u0628\u0648\u0645\u06cc&#8221; \u0628\u0631\u0627\u06cc \u0628\u0633\u062a\u0647 \u0647\u0627\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u062f\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062d\u06cc\u0637 \u0647\u0627\u06cc \u062c\u062f\u0627\u06af\u0627\u0646\u0647 \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<li>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0646\u0635\u0628 \u0627\u0632 \u0645\u0646\u0628\u0639 \u0627\u0632 \u0637\u0631\u06cc\u0642 Git \u0627\u0646\u062c\u0627\u0645 \u0645\u06cc \u0634\u0648\u062f\u060c \u0648 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0631\u0627\u0647 \u0628\u0631\u0627\u06cc \u0627\u0646\u062a\u062e\u0627\u0628 \u06cc\u06a9 \u0646\u0633\u062e\u0647 \u0646\u0631\u0645 \u0627\u0641\u0632\u0627\u0631 \u062e\u0627\u0635 \u0627\u0633\u062a\u060c \u0628\u0627 \u0646\u0633\u062e\u0647 \u067e\u0627\u06cc\u062f\u0627\u0631 \u0641\u0639\u0644\u06cc TensorFlow r1.4 (\u062f\u0631 \u0632\u0645\u0627\u0646 \u0646\u0648\u0634\u062a\u0646 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647).<\/li>\n<\/ul>\n<p>\u0631\u0627\u06cc\u062c \u062a\u0631\u06cc\u0646 \u0648 \u0633\u0627\u062f\u0647 \u062a\u0631\u06cc\u0646 \u0631\u0627\u0647 \u0646\u0635\u0628 \u0627\u0632 \u0637\u0631\u06cc\u0642 virtualenv \u0648 pip\u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u062f\u0631 \u0627\u06cc\u0646 \u067e\u0633\u062a \u062a\u0648\u0636\u06cc\u062d \u062f\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u062f \u0634\u062f.<\/p>\n<p>\u0627\u06af\u0631 \u0645\u062f\u062a\u06cc \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u0647 \u0627\u06cc\u062f\u060c \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0645\u06cc \u062f\u0627\u0646\u06cc\u062f pip.  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0631\u0648\u0634 \u062f\u0631\u06cc\u0627\u0641\u062a \u0622\u0646 \u0622\u0645\u062f\u0647 \u0627\u0633\u062a \u0631\u0648\u06cc \u06cc\u06a9 \u0645\u0627\u0634\u06cc\u0646 \u0627\u0648\u0628\u0648\u0646\u062a\u0648:<\/p>\n<pre><code class=\"hljs\">\nsudo apt-get install python-pip python-dev   \nsudo apt-get install python3-pip python3-dev \n<\/code><\/pre>\n<p>\u062e\u0637\u0648\u0637 \u0632\u06cc\u0631 \u0646\u0635\u0628 TensorFlow \u0631\u0627 \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc \u062f\u0647\u062f \u0631\u0648\u06cc \u06cc\u06a9 \u062f\u0633\u062a\u06af\u0627\u0647 \u0627\u0648\u0628\u0648\u0646\u062a\u0648 \u0648 \u0645\u06a9 OSX:<\/p>\n<pre><code class=\"hljs\">\npip install tensorflow      \npip3 install tensorflow     \n\n\npip install tensorflow-gpu  \npip3 install tensorflow-gpu \n<\/code><\/pre>\n<p>\u062f\u0633\u062a\u0648\u0631\u0627\u062a \u0628\u0627\u0644\u0627 \u0646\u06cc\u0632 \u06a9\u0627\u0631 \u062e\u0648\u0627\u0647\u0646\u062f \u06a9\u0631\u062f \u0631\u0648\u06cc \u06cc\u06a9 \u0645\u0627\u0634\u06cc\u0646 \u0648\u06cc\u0646\u062f\u0648\u0632\u060c \u0627\u0645\u0627 \u0641\u0642\u0637 \u0628\u0631\u0627\u06cc \u0646\u0633\u062e\u0647 \u0647\u0627\u06cc Python 3.5.x \u0648 3.6.x.<\/p>\n<p>\u0646\u0635\u0628 TensorFlow \u062f\u0631 \u06cc\u06a9 \u0645\u062d\u06cc\u0637 \u062c\u062f\u0627\u06af\u0627\u0646\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0627\u0632 \u0637\u0631\u06cc\u0642 virtualenv \u06cc\u0627 conda (\u06a9\u0647 \u0628\u062e\u0634\u06cc \u0627\u0632 Anaconda \u0627\u0633\u062a) \u0627\u0646\u062c\u0627\u0645 \u0634\u0648\u062f.  \u0627\u06cc\u0646 process \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc \u0627\u0632 \u0647\u0645\u0627\u0646 \u062e\u0637\u0648\u0637 \u0628\u0627\u0644\u0627 \u067e\u06cc\u0631\u0648\u06cc \u0645\u06cc \u06a9\u0646\u062f\u060c \u0641\u0642\u0637 \u0627\u06cc\u0646 \u0628\u0627\u0631 \u0627\u0628\u062a\u062f\u0627 \u0628\u0627\u06cc\u062f \u06cc\u06a9 \u0645\u062d\u06cc\u0637 \u062c\u062f\u06cc\u062f \u0627\u06cc\u062c\u0627\u062f \u0648 \u0641\u0639\u0627\u0644 \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">virtualenv --system-site-packages ~\/tensorflow\n<span class=\"hljs-built_in\">source<\/span> ~\/tensorflow\/bin\/activate\n<\/code><\/pre>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0647\u0645\u0647 \u0628\u0633\u062a\u0647\u200c\u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0646\u06cc\u0627\u0632 \u0627\u0632 \u0628\u0633\u062a\u0647\u200c\u0647\u0627\u06cc\u06cc \u06a9\u0647 \u062f\u0631 \u0633\u0637\u062d \u062c\u0647\u0627\u0646\u06cc \u0646\u0635\u0628 \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u062f \u062c\u062f\u0627 \u0646\u06af\u0647 \u0645\u06cc\u200c\u062f\u0627\u0631\u0646\u062f \u0631\u0648\u06cc \u0633\u06cc\u0633\u062a\u0645 \u0634\u0645\u0627<\/p>\n<h2 id=\"coreapicomponents\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%ac%d8%b2%d8%a7%db%8c_%d8%a7%d8%b5%d9%84%db%8c_api\"><\/span>\u0627\u062c\u0632\u0627\u06cc \u0627\u0635\u0644\u06cc API<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>API \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641\u06cc \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0631\u06cc\u0632\u06cc TensorFlow \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f.  \u067e\u0627\u06cc\u06cc\u0646 \u062a\u0631\u06cc\u0646 \u0633\u0637\u062d \u06cc\u06a9 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0634\u0646\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/github.com\/tensorflow\/tensorflow\/tree\/master\/tensorflow\/core\/public\">\u0647\u0633\u062a\u0647<\/a> \u0648 \u0628\u0627 \u0627\u062c\u0632\u0627\u06cc \u0627\u0635\u0644\u06cc \u06a9\u0627\u0631 \u0645\u06cc \u06a9\u0646\u062f: \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627\u060c \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0648 \u062c\u0644\u0633\u0627\u062a.<\/p>\n<p>API \u0647\u0627\u06cc \u0633\u0637\u062d \u0628\u0627\u0644\u0627\u062a\u0631\u060c \u0645\u0627\u0646\u0646\u062f <code>tf.estimator<\/code>\u060c \u0628\u0631\u0627\u06cc \u0633\u0627\u062f\u0647 \u06a9\u0631\u062f\u0646 \u06af\u0631\u062f\u0634 \u06a9\u0627\u0631 \u0648 \u062e\u0648\u062f\u06a9\u0627\u0631\u0633\u0627\u0632\u06cc \u0641\u0631\u0622\u06cc\u0646\u062f\u0647\u0627\u06cc\u06cc \u0645\u0627\u0646\u0646\u062f \u0645\u062f\u06cc\u0631\u06cc\u062a \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627\u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc\u060c \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0648 \u063a\u06cc\u0631\u0647 \u0633\u0627\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0646\u062f.<\/p>\n<p>\u062a\u0645\u0627\u0645 \u0647\u062f\u0641 Core API \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 a <em>\u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u062d\u0627\u0633\u0628\u0627\u062a\u06cc<\/em> \u06a9\u0647 \u0634\u0627\u0645\u0644 \u06cc\u06a9 \u0633\u0631\u06cc \u0639\u0645\u0644\u06cc\u0627\u062a \u0627\u0633\u062a \u06a9\u0647 \u062f\u0631 \u06cc\u06a9 \u06af\u0631\u0627\u0641 \u0627\u0632 \u06af\u0631\u0647 \u0647\u0627 \u0645\u0631\u062a\u0628 \u0634\u062f\u0647 \u0627\u0646\u062f.  \u0647\u0631 \u06cc\u06a9 node \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0686\u0646\u062f\u062a\u0627\u06cc\u06cc \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Tensor\">\u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627<\/a> (\u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0627\u062f\u0647 \u067e\u0627\u06cc\u0647) \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0648\u0631\u0648\u062f\u06cc \u0648 \u0627\u0646\u062c\u0627\u0645 \u0639\u0645\u0644\u06cc\u0627\u062a \u0631\u0648\u06cc \u0622\u0646\u0647\u0627 \u0631\u0627 \u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u0645\u062d\u0627\u0633\u0628\u0647 \u06cc\u06a9 \u062e\u0631\u0648\u062c\u06cc\u060c \u06a9\u0647 \u067e\u0633 \u0627\u0632 \u0622\u0646 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u06cc\u06a9 \u0648\u0631\u0648\u062f\u06cc \u0628\u0647 \u06af\u0631\u0647 \u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u062f\u0631 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0686\u0646\u062f \u0644\u0627\u06cc\u0647 \u0631\u0627 \u0646\u0634\u0627\u0646 \u062f\u0647\u062f.  \u0627\u06cc\u0646 \u0646\u0648\u0639 \u0645\u0639\u0645\u0627\u0631\u06cc \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u06cc \u0645\u0627\u0646\u0646\u062f \u0634\u0628\u06a9\u0647 \u0647\u0627\u06cc \u0639\u0635\u0628\u06cc \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a.<\/p>\n<h3 id=\"tensors\"><span class=\"ez-toc-section\" id=\"%d8%aa%d8%a7%d9%86%d8%b3%d9%88%d8%b1%d9%87%d8%a7\"><\/span>\u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><em>\u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627<\/em> \u0633\u0627\u062e\u062a\u0627\u0631 \u062f\u0627\u062f\u0647 \u067e\u0627\u06cc\u0647 \u062f\u0631 TensorFlow \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0631 \u0627\u0628\u0639\u0627\u062f \u0645\u062e\u062a\u0644\u0641 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u06a9\u0646\u0646\u062f\u060c \u0645\u0634\u0627\u0628\u0647 \u0622\u0631\u0627\u06cc\u0647 \u0647\u0627\u06cc \u0686\u0646\u062f \u0628\u0639\u062f\u06cc \u062f\u0631 NumPy.  \u0633\u0647 \u0646\u0648\u0639 \u0627\u0635\u0644\u06cc \u062a\u0627\u0646\u0633\u0648\u0631 \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f: \u062b\u0627\u0628\u062a\u060c \u0645\u062a\u063a\u06cc\u0631 \u0648 \u0645\u06a9\u0627\u0646 \u0646\u06af\u0647\u062f\u0627\u0631.<\/p>\n<ul>\n<li><em>\u062b\u0627\u0628\u062a \u0647\u0627<\/em> \u0646\u0648\u0639 \u062a\u063a\u06cc\u06cc\u0631\u0646\u0627\u067e\u0630\u06cc\u0631 \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627 \u0647\u0633\u062a\u0646\u062f.  \u0622\u0646\u0647\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u06af\u0631\u0647 \u0647\u0627\u06cc \u0628\u062f\u0648\u0646 \u0648\u0631\u0648\u062f\u06cc \u062f\u06cc\u062f\u0647 \u0634\u0648\u0646\u062f \u0648 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0648\u0627\u062d\u062f \u0631\u0627 \u06a9\u0647 \u062f\u0631 \u062f\u0627\u062e\u0644 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u06a9\u0646\u0646\u062f\u060c \u062e\u0631\u0648\u062c\u06cc \u0645\u06cc \u062f\u0647\u0646\u062f.<\/li>\n<li><em>\u0645\u062a\u063a\u06cc\u0631\u0647\u0627<\/em> \u0646\u0648\u0639 \u0642\u0627\u0628\u0644 \u062a\u063a\u06cc\u06cc\u0631 \u062a\u0646\u0648\u0633\u0631 \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0645\u0642\u062f\u0627\u0631 \u0622\u0646\u0647\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062f\u0631 \u0637\u0648\u0644 \u0627\u062c\u0631\u0627\u06cc \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u062a\u063a\u06cc\u06cc\u0631 \u06a9\u0646\u062f.  \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc ML\u060c \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc\u06cc \u0631\u0627 \u06a9\u0647 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0628\u0647\u06cc\u0646\u0647 \u0633\u0627\u0632\u06cc \u062f\u0627\u0631\u0646\u062f (\u0645\u062b\u0644\u0627\u064b \u0648\u0632\u0646 \u0628\u06cc\u0646 \u06af\u0631\u0647 \u0647\u0627 \u062f\u0631 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc) \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u06a9\u0646\u0646\u062f.  \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0628\u0627\u06cc\u062f \u0642\u0628\u0644 \u0627\u0632 \u0627\u062c\u0631\u0627\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u0628\u0627 \u0641\u0631\u0627\u062e\u0648\u0627\u0646\u06cc \u0635\u0631\u06cc\u062d \u06cc\u06a9 \u0639\u0645\u0644\u06cc\u0627\u062a \u0648\u06cc\u0698\u0647 \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0634\u0648\u0646\u062f.<\/li>\n<li><em>\u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc<\/em> \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627\u06cc\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0627\u0632 \u0645\u0646\u0627\u0628\u0639 \u062e\u0627\u0631\u062c\u06cc \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u06a9\u0646\u0646\u062f.  \u0622\u0646\u0647\u0627 \u06cc\u06a9 &#8220;\u0648\u0639\u062f\u0647&#8221; \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u0646\u062f \u06a9\u0647 \u0647\u0646\u06af\u0627\u0645 \u0627\u062c\u0631\u0627\u06cc \u0646\u0645\u0648\u062f\u0627\u0631 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u0634\u0648\u062f.  \u062f\u0631 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc ML \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0627\u0632 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u0648\u0631\u0648\u062f \u062f\u0627\u062f\u0647 \u0647\u0627 \u0628\u0647 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/li>\n<\/ul>\n<p>\u0686\u0646\u062f \u062e\u0637 \u0632\u06cc\u0631 \u0646\u0645\u0648\u0646\u0647 \u0627\u06cc \u0627\u0632 \u0633\u0647 \u0646\u0648\u0639 \u062a\u0627\u0646\u0633\u0648\u0631 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> tensorflow <span class=\"hljs-keyword\">as<\/span> tf\n\ntf.reset_default_graph()\n\n\na = tf.placeholder(<span class=\"hljs-string\">\"float\"<\/span>, name=<span class=\"hljs-string\">'pholdA'<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"a:\"<\/span>, a)\n\n\nb = tf.Variable(<span class=\"hljs-number\">2.0<\/span>, name=<span class=\"hljs-string\">'varB'<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"b:\"<\/span>, b)\n\n\nc = tf.constant((<span class=\"hljs-number\">1.<\/span>, <span class=\"hljs-number\">2.<\/span>, <span class=\"hljs-number\">3.<\/span>, <span class=\"hljs-number\">4.<\/span>), name=<span class=\"hljs-string\">'consC'<\/span>)\n<span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"c:\"<\/span>, c)\n<\/code><\/pre>\n<pre><code class=\"hljs\">a: Tensor(\"pholdA:0\", dtype=float32)\nb: &lt;tf.Variable 'varB:0' shape=() dtype=float32_ref&gt;\nc: Tensor(\"consC:0\", shape=(4,), dtype=float32)\n<\/code><\/pre>\n<p>\u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627 \u062f\u0631 \u0627\u06cc\u0646 \u0646\u0642\u0637\u0647 \u062d\u0627\u0648\u06cc \u0645\u0642\u062f\u0627\u0631 \u0646\u06cc\u0633\u062a\u0646\u062f \u0648 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0622\u0646\u0647\u0627 \u0641\u0642\u0637 \u0632\u0645\u0627\u0646\u06cc \u062f\u0631 \u062f\u0633\u062a\u0631\u0633 \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0646\u0645\u0648\u062f\u0627\u0631 \u062f\u0631 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u0627\u062c\u0631\u0627 \u0634\u0648\u062f. <em>\u062c\u0644\u0633\u0647<\/em>.<\/p>\n<h3 id=\"graphs\"><span class=\"ez-toc-section\" id=\"%d9%86%d9%85%d9%88%d8%af%d8%a7%d8%b1%d9%87%d8%a7\"><\/span>\u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0631\u062d\u0644\u0647 \u0646\u0645\u0648\u062f\u0627\u0631 \u0641\u0642\u0637 \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627\u06cc \u062f\u0631\u062e\u062a\u06cc \u0631\u0627 \u0646\u06af\u0647 \u0645\u06cc\u200c\u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0647 \u0647\u0645 \u0645\u062a\u0635\u0644 \u0646\u06cc\u0633\u062a\u0646\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0686\u0646\u062f \u0639\u0645\u0644\u06cc\u0627\u062a \u0631\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627\u06cc \u0645\u0627:<\/p>\n<pre><code class=\"hljs\">d = a * b + c\nd\n<\/code><\/pre>\n<pre><code class=\"hljs\">&lt;tf.Tensor 'add:0' shape=&lt;unknown&gt; dtype=float32&gt;\n<\/code><\/pre>\n<p>\u062e\u0631\u0648\u062c\u06cc \u062d\u0627\u0635\u0644 \u062f\u0648\u0628\u0627\u0631\u0647 \u06cc\u06a9 \u062a\u0627\u0646\u0633\u0648\u0631 \u0628\u0647 \u0646\u0627\u0645 &#8220;\u0627\u0641\u0632\u0648\u062f\u0646&#8221; \u0627\u0633\u062a \u0648 \u0645\u062f\u0644 \u0645\u0627 \u0627\u06a9\u0646\u0648\u0646 \u0645\u0627\u0646\u0646\u062f \u062a\u0635\u0648\u06cc\u0631 \u0632\u06cc\u0631 \u0628\u0647 \u0646\u0638\u0631 \u0645\u06cc \u0631\u0633\u062f.  \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0648\u06cc\u0698\u06af\u06cc \u062f\u0627\u062e\u0644\u06cc TensorFlow \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0646\u0645\u0648\u062f\u0627\u0631 \u062e\u0648\u062f \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u062f\u06cc\u06af\u0631 \u0631\u0627 \u06a9\u0627\u0648\u0634 \u06a9\u0646\u06cc\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/github.com\/tensorflow\/tensorboard\">TensorBoard<\/a>.<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/tensorflow-neural-network-tutorial-1.png\" alt=\"\u0646\u0645\u0648\u062f\u0627\u0631 TensorFlow\" title=\"\"><\/p>\n<p><em>\u0634\u06a9\u0644 1: \u0646\u0645\u0648\u062f\u0627\u0631 TensorFlow \u0634\u0627\u0645\u0644 \u0636\u0631\u0628 \u0648 \u062c\u0645\u0639 \u0627\u0633\u062a.<\/em><\/p>\n<p>\u06cc\u06a9\u06cc \u062f\u06cc\u06af\u0631 \u0627\u0632 \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0645\u0641\u06cc\u062f \u0628\u0631\u0627\u06cc \u06a9\u0627\u0648\u0634 \u0646\u0645\u0648\u062f\u0627\u0631 \u0634\u0645\u0627 \u0645\u0648\u0627\u0631\u062f \u0632\u06cc\u0631 \u0627\u0633\u062a \u06a9\u0647 \u062a\u0645\u0627\u0645 \u0639\u0645\u0644\u06cc\u0627\u062a \u0631\u0627 \u062f\u0631 \u0622\u0646 \u0686\u0627\u067e \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<pre><code class=\"hljs\">\ngraph = tf.get_default_graph()\n\n\n<span class=\"hljs-keyword\">for<\/span> op <span class=\"hljs-keyword\">in<\/span> graph.get_operations():\n    <span class=\"hljs-built_in\">print<\/span>(op.name)\n<\/code><\/pre>\n<pre><code class=\"hljs\">pholdA\nvarB\/initial_value\nvarB\nvarB\/Assign\nvarB\/read\nconsC\nmul\nadd\n<\/code><\/pre>\n<h3 id=\"sessions\"><span class=\"ez-toc-section\" id=\"%d8%ac%d9%84%d8%b3%d8%a7%d8%aa\"><\/span>\u062c\u0644\u0633\u0627\u062a<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0646\u0645\u0648\u062f\u0627\u0631 \u0645\u0627 \u0628\u0627\u06cc\u062f \u062f\u0631 \u06cc\u06a9 \u062c\u0644\u0633\u0647 \u0627\u062c\u0631\u0627 \u0634\u0648\u062f.  \u062a\u0648\u062c\u0647 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0645\u062a\u063a\u06cc\u0631\u0647\u0627 \u0627\u0632 \u0642\u0628\u0644 \u0645\u0642\u062f\u0627\u0631\u062f\u0647\u06cc \u0627\u0648\u0644\u06cc\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u062a\u0627\u0646\u0633\u0648\u0631 \u0645\u06a9\u0627\u0646 \u0646\u06af\u0647\u062f\u0627\u0631 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0634\u062e\u0635 \u0631\u0627 \u0627\u0632 \u0637\u0631\u06cc\u0642 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u06cc \u06a9\u0646\u062f <code>feed_dict<\/code> \u0635\u0641\u062a.<\/p>\n<pre><code class=\"hljs\">\ninit = tf.global_variables_initializer()\n\n\nsess = tf.Session()\nsess.run(init)\n<span class=\"hljs-built_in\">print<\/span>(sess.run(d, feed_dict={a: ((<span class=\"hljs-number\">0.5<\/span>), (<span class=\"hljs-number\">2<\/span>), (<span class=\"hljs-number\">3<\/span>))}))\nsess.close()\n<\/code><\/pre>\n<pre><code class=\"hljs\">((  2.   3.   4.   5.)\n (  5.   6.   7.   8.)\n (  7.   8.   9.  10.))\n<\/code><\/pre>\n<p>\u0645\u062b\u0627\u0644 \u0628\u0627\u0644\u0627 \u06a9\u0627\u0645\u0644\u0627\u064b \u0633\u0627\u062f\u0647 \u0633\u0627\u0632\u06cc \u06cc\u06a9 \u0645\u062f\u0644 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0633\u062a.  \u062f\u0631 \u0647\u0631 \u0635\u0648\u0631\u062a\u060c \u0646\u0634\u0627\u0646 \u062f\u0627\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0627\u0633\u0627\u0633\u06cc \u0627\u0633\u062a <code>tf<\/code> \u0627\u062c\u0632\u0627 \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u062f\u0631 \u06cc\u06a9 \u0646\u0645\u0648\u062f\u0627\u0631 \u062a\u0631\u06a9\u06cc\u0628 \u06a9\u0631\u062f \u0648 \u062f\u0631 \u06cc\u06a9 \u062c\u0644\u0633\u0647 \u0627\u062c\u0631\u0627 \u06a9\u0631\u062f.  \u0647\u0645\u0686\u0646\u06cc\u0646\u060c \u0631\u0648\u0634 \u0627\u062c\u0631\u0627\u06cc \u0639\u0645\u0644\u06cc\u0627\u062a \u0631\u0627 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f \u0631\u0648\u06cc \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627\u06cc \u0627\u0634\u06a9\u0627\u0644 \u0645\u062e\u062a\u0644\u0641<\/p>\n<p>\u062f\u0631 \u0628\u062e\u0634 \u0632\u06cc\u0631 \u0627\u0632 Core API \u0628\u0631\u0627\u06cc \u0627\u06cc\u062c\u0627\u062f \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f \u0631\u0648\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc<\/p>\n<h2 id=\"aneuralnetworkmodel\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%af%d9%84_%d8%b4%d8%a8%da%a9%d9%87_%d8%b9%d8%b5%d8%a8%db%8c\"><\/span>\u0645\u062f\u0644 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u0642\u0633\u0645\u062a \u0645\u0627 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u067e\u06cc\u0634\u200c\u062e\u0648\u0631 \u0631\u0627 \u0627\u0632 \u0627\u0628\u062a\u062f\u0627 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u062c\u0632\u0627\u06cc \u0627\u0635\u0644\u06cc TensorFlow \u0645\u06cc\u200c\u0633\u0627\u0632\u06cc\u0645.  \u0645\u0627 \u0633\u0647 \u0645\u0639\u0645\u0627\u0631\u06cc \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0631\u0627 \u0628\u0627 \u0647\u0645 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0645\u062a\u0641\u0627\u0648\u062a \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f \u0631\u0648\u06cc \u062a\u0639\u062f\u0627\u062f \u06af\u0631\u0647 \u0647\u0627 \u062f\u0631 \u06cc\u06a9 \u0644\u0627\u06cc\u0647 \u067e\u0646\u0647\u0627\u0646.<\/p>\n<h3 id=\"irisdataset\"><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_%d8%b9%d9%86%d8%a8%db%8c%d9%87\"><\/span>\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0639\u0646\u0628\u06cc\u0647<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0645\u0627 \u0627\u0632 \u0633\u0627\u062f\u0647 \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\/Iris_flower_data_set\">\u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0639\u0646\u0628\u06cc\u0647<\/a>\u060c \u06a9\u0647 \u0627\u0632 150 \u0646\u0645\u0648\u0646\u0647 \u06af\u06cc\u0627\u0647 \u062a\u0634\u06a9\u06cc\u0644 \u0634\u062f\u0647 \u0627\u0633\u062a \u06a9\u0647 \u0647\u0631 \u06a9\u062f\u0627\u0645 \u0628\u0627 4 \u0628\u0639\u062f (\u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0648\u06cc\u0698\u06af\u06cc \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc) \u0648 \u0646\u0648\u0639 \u0622\u0646 (\u0645\u0642\u062f\u0627\u0631 \u062e\u0631\u0648\u062c\u06cc \u06a9\u0647 \u0628\u0627\u06cc\u062f \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u0648\u062f) \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.  \u06cc\u06a9 \u06af\u06cc\u0627\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u06cc\u06a9\u06cc \u0627\u0632 \u0633\u0647 \u0646\u0648\u0639 \u0645\u0645\u06a9\u0646 (\u0633\u062a\u0648\u0632\u0627\u060c \u0648\u06cc\u0631\u062c\u06cc\u0646\u06cc\u06a9\u0627 \u0648 \u0648\u0631\u0633\u06cc\u06a9\u0627\u0644\u0631) \u062a\u0639\u0644\u0642 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f.  \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u0628\u062a\u062f\u0627 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u0627\u0632 \u0648\u0628\u200c\u0633\u0627\u06cc\u062a \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648 \u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u0646\u06cc\u0645 &#8211; \u0628\u0647 \u0632\u06cc\u0631 \u0645\u062c\u0645\u0648\u0639\u0647\u200c\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0648 \u0622\u0632\u0645\u0627\u06cc\u0634\u06cc \u0628\u0627 120 \u0648 30 \u0645\u062b\u0627\u0644 \u062a\u0642\u0633\u06cc\u0645 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/p>\n<pre><code class=\"hljs\">\n<span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n<span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n<span class=\"hljs-keyword\">import<\/span> tensorflow <span class=\"hljs-keyword\">as<\/span> tf\n<span class=\"hljs-keyword\">import<\/span> urllib.request <span class=\"hljs-keyword\">as<\/span> request\n<span class=\"hljs-keyword\">import<\/span> matplotlib.pyplot <span class=\"hljs-keyword\">as<\/span> plt\n\n\nIRIS_TRAIN_URL = <span class=\"hljs-string\">\"http:\/\/download.tensorflow.org\/data\/iris_training.csv\"<\/span>\nIRIS_TEST_URL = <span class=\"hljs-string\">\"http:\/\/download.tensorflow.org\/data\/iris_test.csv\"<\/span>\n\nnames = (<span class=\"hljs-string\">'sepal-length'<\/span>, <span class=\"hljs-string\">'sepal-width'<\/span>, <span class=\"hljs-string\">'petal-length'<\/span>, <span class=\"hljs-string\">'petal-width'<\/span>, <span class=\"hljs-string\">'species'<\/span>)\ntrain = pd.read_csv(IRIS_TRAIN_URL, names=names, skiprows=<span class=\"hljs-number\">1<\/span>)\ntest = pd.read_csv(IRIS_TEST_URL, names=names, skiprows=<span class=\"hljs-number\">1<\/span>)\n\n\nXtrain = train.drop(<span class=\"hljs-string\">\"species\"<\/span>, axis=<span class=\"hljs-number\">1<\/span>)\nXtest = test.drop(<span class=\"hljs-string\">\"species\"<\/span>, axis=<span class=\"hljs-number\">1<\/span>)\n\n\nytrain = pd.get_dummies(train.species)\nytest = pd.get_dummies(test.species)\n<\/code><\/pre>\n<h3 id=\"modelandlearning\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%af%d9%84_%d9%88_%db%8c%d8%a7%d8%af%da%af%db%8c%d8%b1%db%8c\"><\/span>\u0645\u062f\u0644 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u0634\u06a9\u0644 \u0644\u0627\u06cc\u0647\u200c\u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0648 \u062e\u0631\u0648\u062c\u06cc \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0645\u0627 \u0628\u0627 \u0634\u06a9\u0644 \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0631\u062f\u060c \u06cc\u0639\u0646\u06cc \u0644\u0627\u06cc\u0647 \u0648\u0631\u0648\u062f\u06cc \u0634\u0627\u0645\u0644 \u0686\u0647\u0627\u0631 \u0646\u0648\u0631\u0648\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0646\u0645\u0627\u06cc\u0627\u0646\u06af\u0631 \u0686\u0647\u0627\u0631 \u0648\u06cc\u0698\u06af\u06cc \u0648\u0631\u0648\u062f\u06cc \u0627\u0633\u062a\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0644\u0627\u06cc\u0647 \u062e\u0631\u0648\u062c\u06cc \u0634\u0627\u0645\u0644 \u0633\u0647 \u0646\u0648\u0631\u0648\u0646 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u0633\u0647 \u0628\u06cc\u062a \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u0627\u0633\u062a. \u06cc\u06a9 \u06af\u0648\u0646\u0647 \u06af\u06cc\u0627\u0647\u06cc \u062f\u0631 a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/One-hot\">\u06cc\u06a9 \u062f\u0627\u063a<\/a> \u0633\u0628\u06a9.  \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062b\u0627\u0644\u060c \u06af\u0648\u0646\u0647 &#8220;setosa&#8221; \u0631\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646 \u0628\u0627 \u06cc\u06a9 \u0628\u0631\u062f\u0627\u0631 (1\u060c 0\u060c 0)\u060c &#8220;virginica&#8221; \u0628\u0627 (0\u060c 1\u060c 0) \u0648 \u063a\u06cc\u0631\u0647 \u0631\u0645\u0632\u06af\u0630\u0627\u0631\u06cc \u06a9\u0631\u062f.<\/p>\n<p>\u0645\u0627 \u0633\u0647 \u0645\u0642\u062f\u0627\u0631 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062a\u0639\u062f\u0627\u062f \u0646\u0648\u0631\u0648\u0646\u200c\u0647\u0627\u06cc \u0644\u0627\u06cc\u0647 \u067e\u0646\u0647\u0627\u0646 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645: 5\u060c 10 \u0648 20\u060c \u06a9\u0647 \u062f\u0631 \u0646\u062a\u06cc\u062c\u0647 \u0627\u0646\u062f\u0627\u0632\u0647\u200c\u0647\u0627\u06cc \u0634\u0628\u06a9\u0647 (4-5-3)\u060c (4-10-3) \u0648 (4-20-3) \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc\u200c\u0634\u0648\u062f.  \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u0627\u0633\u062a \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0645\u062b\u0627\u0644\u060c \u0627\u0648\u0644\u06cc\u0646 \u0634\u0628\u06a9\u0647 \u0645\u0627 \u062f\u0627\u0631\u0627\u06cc 4 \u0646\u0648\u0631\u0648\u0646 \u0648\u0631\u0648\u062f\u06cc\u060c 5 \u0646\u0648\u0631\u0648\u0646 &#8220;\u067e\u0646\u0647\u0627\u0646&#8221; \u0648 3 \u0646\u0648\u0631\u0648\u0646 \u062e\u0631\u0648\u062c\u06cc \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.<\/p>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/tensorflow-neural-network-tutorial-2.png\" alt=\"\u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc\" title=\"\"><\/p>\n<p><em>\u0634\u06a9\u0644 2: \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u067e\u06cc\u0634\u062e\u0648\u0631 \u0633\u0647 \u0644\u0627\u06cc\u0647 \u0645\u0627.<\/em><\/p>\n<p>\u06a9\u062f \u0632\u06cc\u0631 \u062a\u0627\u0628\u0639\u06cc \u0631\u0627 \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc\u200c\u06a9\u0646\u062f \u06a9\u0647 \u062f\u0631 \u0622\u0646 \u0645\u062f\u0644 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645\u060c \u06cc\u06a9 \u062a\u0627\u0628\u0639 \u0636\u0631\u0631 \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u06a9\u0647 \u0628\u0627\u06cc\u062f \u062d\u062f\u0627\u0642\u0644 \u0634\u0648\u062f\u060c \u0648 \u06cc\u06a9 \u062c\u0644\u0633\u0647 \u0628\u0627 \u06f2\u06f0\u06f0\u06f0 \u062a\u06a9\u0631\u0627\u0631 \u0627\u062c\u0631\u0627 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u0645 \u062a\u0627 \u0648\u0632\u0646\u200c\u0647\u0627\u06cc \u0628\u0647\u06cc\u0646\u0647 \u0631\u0627 \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u06cc\u0645. <code>W_1<\/code> \u0648 <code>W_2<\/code>.  \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0642\u0628\u0644\u0627 \u0630\u06a9\u0631 \u0634\u062f\u060c \u0645\u0627\u062a\u0631\u06cc\u0633 \u0647\u0627\u06cc \u0648\u0631\u0648\u062f\u06cc \u0648 \u062e\u0631\u0648\u062c\u06cc \u0628\u0647 \u0622\u0646\u0647\u0627 \u062a\u063a\u0630\u06cc\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f <code>tf.placeholder<\/code> \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627 \u0648 \u0648\u0632\u0646 \u0647\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u062a\u063a\u06cc\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u0646\u062f \u0632\u06cc\u0631\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0622\u0646\u0647\u0627 \u062f\u0631 \u0647\u0631 \u062a\u06a9\u0631\u0627\u0631 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u062f.  \u062a\u0627\u0628\u0639 \u0636\u0631\u0631 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0645\u06cc\u0627\u0646\u06af\u06cc\u0646 \u0645\u062c\u0630\u0648\u0631 \u062e\u0637\u0627 \u0628\u06cc\u0646 \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0645\u0627 \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc \u0634\u0648\u062f <code>y_est<\/code> \u0648 \u0646\u0648\u0639 \u0648\u0627\u0642\u0639\u06cc \u06af\u0648\u0646\u0647 <code>y<\/code>\u0648 \u062a\u0627\u0628\u0639 \u0641\u0639\u0627\u0644 \u0633\u0627\u0632\u06cc \u06a9\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 \u0627\u0633\u062a <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Sigmoid_function\">\u0633\u06cc\u06af\u0645\u0648\u0626\u06cc\u062f<\/a>.  \u0627\u06cc\u0646 <code>create_train_model<\/code> \u062a\u0627\u0628\u0639 \u0648\u0632\u0646 \u0647\u0627\u06cc \u0622\u0645\u0648\u062e\u062a\u0647 \u0634\u062f\u0647 \u0631\u0627 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f \u0648 \u0645\u0642\u062f\u0627\u0631 \u0646\u0647\u0627\u06cc\u06cc \u062a\u0627\u0628\u0639 \u0636\u0631\u0631 \u0631\u0627 \u0686\u0627\u067e \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<pre><code class=\"hljs\">\n<span class=\"hljs-function\"><span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title\">create_train_model<\/span>(<span class=\"hljs-params\">hidden_nodes, num_iters<\/span>):<\/span>\n    \n    \n    tf.reset_default_graph()\n\n    \n    X = tf.placeholder(shape=(<span class=\"hljs-number\">120<\/span>, <span class=\"hljs-number\">4<\/span>), dtype=tf.float64, name=<span class=\"hljs-string\">'X'<\/span>)\n    y = tf.placeholder(shape=(<span class=\"hljs-number\">120<\/span>, <span class=\"hljs-number\">3<\/span>), dtype=tf.float64, name=<span class=\"hljs-string\">'y'<\/span>)\n\n    \n    W1 = tf.Variable(np.random.rand(<span class=\"hljs-number\">4<\/span>, hidden_nodes), dtype=tf.float64)\n    W2 = tf.Variable(np.random.rand(hidden_nodes, <span class=\"hljs-number\">3<\/span>), dtype=tf.float64)\n\n    \n    A1 = tf.sigmoid(tf.matmul(X, W1))\n    y_est = tf.sigmoid(tf.matmul(A1, W2))\n\n    \n    deltas = tf.square(y_est - y)\n    loss = tf.reduce_sum(deltas)\n\n    \n    optimizer = tf.train.GradientDescentOptimizer(<span class=\"hljs-number\">0.005<\/span>)\n    train = optimizer.minimize(loss)\n\n    \n    init = tf.global_variables_initializer()\n    sess = tf.Session()\n    sess.run(init)\n\n    \n    <span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(num_iters):\n        sess.run(train, feed_dict={X: Xtrain, y: ytrain})\n        loss_plot(hidden_nodes).append(sess.run(loss, feed_dict={X: Xtrain.as_matrix(), y: ytrain.as_matrix()}))\n        weights1 = sess.run(W1)\n        weights2 = sess.run(W2)\n        \n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">\"loss (hidden nodes: %d, iterations: %d): %.2f\"<\/span> % (hidden_nodes, num_iters, loss_plot(hidden_nodes)(-<span class=\"hljs-number\">1<\/span>)))\n    sess.close()\n    <span class=\"hljs-keyword\">return<\/span> weights1, weights2\n<\/code><\/pre>\n<p>\u062e\u0648\u0628\u060c \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0633\u0647 \u0645\u0639\u0645\u0627\u0631\u06cc \u0634\u0628\u06a9\u0647 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 \u0648 \u062a\u0627\u0628\u0639 \u0636\u0631\u0631 \u0631\u0627 \u0631\u0648\u06cc \u062a\u06a9\u0631\u0627\u0631\u0647\u0627 \u0631\u0633\u0645 \u06a9\u0646\u06cc\u0645.<\/p>\n<pre><code class=\"hljs\">\n\n\nnum_hidden_nodes = (<span class=\"hljs-number\">5<\/span>, <span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">20<\/span>)\nloss_plot = {<span class=\"hljs-number\">5<\/span>: (), <span class=\"hljs-number\">10<\/span>: (), <span class=\"hljs-number\">20<\/span>: ()}\nweights1 = {<span class=\"hljs-number\">5<\/span>: <span class=\"hljs-literal\">None<\/span>, <span class=\"hljs-number\">10<\/span>: <span class=\"hljs-literal\">None<\/span>, <span class=\"hljs-number\">20<\/span>: <span class=\"hljs-literal\">None<\/span>}\nweights2 = {<span class=\"hljs-number\">5<\/span>: <span class=\"hljs-literal\">None<\/span>, <span class=\"hljs-number\">10<\/span>: <span class=\"hljs-literal\">None<\/span>, <span class=\"hljs-number\">20<\/span>: <span class=\"hljs-literal\">None<\/span>}\nnum_iters = <span class=\"hljs-number\">2000<\/span>\n\nplt.figure(figsize=(<span class=\"hljs-number\">12<\/span>,<span class=\"hljs-number\">8<\/span>))\n<span class=\"hljs-keyword\">for<\/span> hidden_nodes <span class=\"hljs-keyword\">in<\/span> num_hidden_nodes:\n    weights1(hidden_nodes), weights2(hidden_nodes) = create_train_model(hidden_nodes, num_iters)\n    plt.plot(<span class=\"hljs-built_in\">range<\/span>(num_iters), loss_plot(hidden_nodes), label=<span class=\"hljs-string\">\"nn: 4-%d-3\"<\/span> % hidden_nodes)\n    \nplt.xlabel(<span class=\"hljs-string\">'Iteration'<\/span>, fontsize=<span class=\"hljs-number\">12<\/span>)\nplt.ylabel(<span class=\"hljs-string\">'Loss'<\/span>, fontsize=<span class=\"hljs-number\">12<\/span>)\nplt.legend(fontsize=<span class=\"hljs-number\">12<\/span>)\n<\/code><\/pre>\n<pre><code class=\"hljs\">loss (hidden nodes: 5, iterations: 2000): 31.82\nloss (hidden nodes: 10, iterations: 2000): 5.90\nloss (hidden nodes: 20, iterations: 2000): 5.61\n\n&lt;matplotlib.legend.Legend at 0x123b157f0&gt;\n<\/code><\/pre>\n<p><img decoding=\"async\" class=\"img-responsive\" src=\"https:\/\/rasanegar.com\/blog\/wp-content\/uploads\/2024\/01\/tensorflow-neural-network-tutorial-3.png\" alt=\"\u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646 \u0639\u0645\u0644\u06a9\u0631\u062f \u062f\u0631 \u0637\u0648\u0644 \u062a\u0645\u0631\u06cc\u0646\" title=\"\"><\/p>\n<p><em>\u0634\u06a9\u0644 3: \u062a\u0627\u0628\u0639 \u0627\u0632 \u062f\u0633\u062a \u062f\u0627\u062f\u0646 \u0628\u06cc\u0634 \u0627\u0632 2000 \u062a\u06a9\u0631\u0627\u0631 \u0628\u0631\u0627\u06cc \u0645\u0639\u0645\u0627\u0631\u06cc \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0634\u0628\u06a9\u0647.<\/em><\/p>\n<p>\u0645\u06cc \u0628\u06cc\u0646\u06cc\u0645 \u06a9\u0647 \u0634\u0628\u06a9\u0647 \u0628\u0627 20 \u0646\u0648\u0631\u0648\u0646 \u067e\u0646\u0647\u0627\u0646 \u0632\u0645\u0627\u0646 \u0628\u06cc\u0634\u062a\u0631\u06cc \u0628\u0631\u0627\u06cc \u0631\u0633\u06cc\u062f\u0646 \u0628\u0647 \u062d\u062f\u0627\u0642\u0644 \u0646\u06cc\u0627\u0632 \u062f\u0627\u0631\u062f \u06a9\u0647 \u0628\u0647 \u062f\u0644\u06cc\u0644 \u067e\u06cc\u0686\u06cc\u062f\u06af\u06cc \u0628\u0627\u0644\u0627\u062a\u0631 \u0622\u0646 \u0627\u0633\u062a.  \u0634\u0628\u06a9\u0647 \u0628\u0627 5 \u0646\u0648\u0631\u0648\u0646 \u067e\u0646\u0647\u0627\u0646 \u062f\u0631 \u062d\u062f\u0627\u0642\u0644 \u0645\u062d\u0644\u06cc \u06af\u06cc\u0631 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u0646\u062a\u0627\u06cc\u062c \u062e\u0648\u0628\u06cc \u0646\u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a.<\/p>\n<p>\u0628\u0647 \u0647\u0631 \u062d\u0627\u0644\u060c \u0628\u0631\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0627\u06cc \u0628\u0647 \u0633\u0627\u062f\u06af\u06cc Iris\u060c \u062d\u062a\u06cc \u0634\u0628\u06a9\u0647 \u06a9\u0648\u0686\u06a9 \u0628\u0627 5 \u0646\u0648\u0631\u0648\u0646 \u067e\u0646\u0647\u0627\u0646 \u0646\u06cc\u0632 \u0628\u0627\u06cc\u062f \u0628\u062a\u0648\u0627\u0646\u062f \u06cc\u06a9 \u0645\u062f\u0644 \u062e\u0648\u0628 \u06cc\u0627\u062f \u0628\u06af\u06cc\u0631\u062f.  \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0627\u060c \u0627\u06cc\u0646 \u0641\u0642\u0637 \u06cc\u06a9 \u0631\u0648\u06cc\u062f\u0627\u062f \u062a\u0635\u0627\u062f\u0641\u06cc \u0628\u0648\u062f \u06a9\u0647 \u0645\u062f\u0644 \u062f\u0631 \u062d\u062f\u0627\u0642\u0644 \u0645\u062d\u0644\u06cc \u06af\u06cc\u0631 \u06a9\u0631\u062f\u060c \u0648 \u0627\u06af\u0631 \u06a9\u062f \u0631\u0627 \u0628\u0627\u0631\u0647\u0627 \u0648 \u0628\u0627\u0631\u0647\u0627 \u0627\u062c\u0631\u0627 \u06a9\u0646\u06cc\u0645\u060c \u0627\u063a\u0644\u0628 \u0627\u062a\u0641\u0627\u0642 \u0646\u0645\u06cc \u0627\u0641\u062a\u062f.<\/p>\n<h3 id=\"modelevaluation\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%b1%d8%b2%db%8c%d8%a7%d8%a8%db%8c_%d9%85%d8%af%d9%84\"><\/span>\u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u0645\u062f\u0644<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>\u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0645\u062f\u0644 \u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u0627\u0631\u0632\u06cc\u0627\u0628\u06cc \u06a9\u0646\u06cc\u0645.  \u0627\u0632 \u0648\u0632\u0646 \u0647\u0627\u06cc \u0622\u0645\u0648\u062e\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>W_1<\/code> \u0648 <code>W_2<\/code> \u0648 \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0645\u062c\u0645\u0648\u0639\u0647 \u062a\u0633\u062a \u0631\u0627 \u0628\u0647 \u062c\u0644\u0648 \u0645\u0646\u062a\u0634\u0631 \u06a9\u0646\u06cc\u062f.  \u0645\u062a\u0631\u06cc\u06a9 \u062f\u0642\u062a \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u062f\u0631\u0635\u062f \u0646\u0645\u0648\u0646\u0647 \u0647\u0627\u06cc \u0628\u0647 \u062f\u0631\u0633\u062a\u06cc \u067e\u06cc\u0634 \u0628\u06cc\u0646\u06cc \u0634\u062f\u0647 \u062a\u0639\u0631\u06cc\u0641 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<pre><code class=\"hljs\">\nX = tf.placeholder(shape=(<span class=\"hljs-number\">30<\/span>, <span class=\"hljs-number\">4<\/span>), dtype=tf.float64, name=<span class=\"hljs-string\">'X'<\/span>)\ny = tf.placeholder(shape=(<span class=\"hljs-number\">30<\/span>, <span class=\"hljs-number\">3<\/span>), dtype=tf.float64, name=<span class=\"hljs-string\">'y'<\/span>)\n\n<span class=\"hljs-keyword\">for<\/span> hidden_nodes <span class=\"hljs-keyword\">in<\/span> num_hidden_nodes:\n\n    \n    W1 = tf.Variable(weights1(hidden_nodes))\n    W2 = tf.Variable(weights2(hidden_nodes))\n    A1 = tf.sigmoid(tf.matmul(X, W1))\n    y_est = tf.sigmoid(tf.matmul(A1, W2))\n\n    \n    init = tf.global_variables_initializer()\n    <span class=\"hljs-keyword\">with<\/span> tf.Session() <span class=\"hljs-keyword\">as<\/span> sess:\n        sess.run(init)\n        y_est_np = sess.run(y_est, feed_dict={X: Xtest, y: ytest})\n\n    \n    correct = (estimate.argmax(axis=<span class=\"hljs-number\">0<\/span>) == target.argmax(axis=<span class=\"hljs-number\">0<\/span>) \n               <span class=\"hljs-keyword\">for<\/span> estimate, target <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">zip<\/span>(y_est_np, ytest.as_matrix()))\n    accuracy = <span class=\"hljs-number\">100<\/span> * <span class=\"hljs-built_in\">sum<\/span>(correct) \/ <span class=\"hljs-built_in\">len<\/span>(correct)\n    <span class=\"hljs-built_in\">print<\/span>(<span class=\"hljs-string\">'Network architecture 4-%d-3, accuracy: %.2f%%'<\/span> % (hidden_nodes, accuracy))\n<\/code><\/pre>\n<pre><code class=\"hljs\">Network architecture 4-5-3, accuracy: 90.00%\nNetwork architecture 4-10-3, accuracy: 96.67%\nNetwork architecture 4-20-3, accuracy: 96.67%\n<\/code><\/pre>\n<p>\u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc\u060c \u0645\u0627 \u0645\u0648\u0641\u0642 \u0634\u062f\u06cc\u0645 \u0628\u0627 \u06cc\u06a9 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0641\u06cc\u062f \u0641\u0648\u0631\u0648\u0627\u0631\u062f \u0633\u0627\u062f\u0647 \u0628\u0647 \u062f\u0642\u062a \u0628\u0633\u06cc\u0627\u0631 \u0628\u0627\u0644\u0627\u06cc\u06cc \u062f\u0633\u062a \u06cc\u0627\u0628\u06cc\u0645 \u06a9\u0647 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u06cc\u06a9 \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0648\u0686\u06a9 \u0634\u06af\u0641\u062a\u200c\u0627\u0646\u06af\u06cc\u0632 \u0627\u0633\u062a.<\/p>\n<p>\u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627\u06cc TensorFlow \u0628\u0647 \u0645\u062b\u0627\u0644 \u0633\u0627\u062f\u0647 \u062a\u0631\u06cc \u0646\u06af\u0627\u0647 \u06a9\u0646\u06cc\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/www.tensorflow.org\/get_started\/estimator\" class=\"broken_link\">\u0627\u06cc\u0646\u062c\u0627<\/a>.<\/p>\n<h2 id=\"resources\"><span class=\"ez-toc-section\" id=\"%d9%85%d9%86%d8%a7%d8%a8%d8%b9\"><\/span>\u0645\u0646\u0627\u0628\u0639<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u062a\u0646\u0647\u0627 \u0628\u062e\u0634 \u06a9\u0648\u0686\u06a9\u06cc \u0627\u0632 \u0622\u0646\u0686\u0647 \u062a\u0646\u0633\u0648\u0631\u0641\u0644\u0648 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0627\u0646\u062c\u0627\u0645 \u062f\u0647\u062f \u0631\u0627 \u067e\u0648\u0634\u0634 \u0645\u06cc \u062f\u0647\u062f.  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0686\u0646\u062f \u0645\u0646\u0628\u0639 \u0639\u0627\u0644\u06cc \u0628\u0631\u0627\u06cc \u06a9\u0633\u0628 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u06cc\u0634\u062a\u0631 \u062f\u0631 \u0645\u0648\u0631\u062f TensorFlow \u0648 \u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0622\u0648\u0631\u062f\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<h2 id=\"conclusions\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87_%da%af%db%8c%d8%b1%db%8c\"><\/span>\u0646\u062a\u06cc\u062c\u0647 \u06af\u06cc\u0631\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0627\u06cc\u0646 \u067e\u0633\u062a \u0645\u0627 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 TensorFlow \u0631\u0627 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0645\u0639\u0631\u0641\u06cc \u06a9\u0631\u062f\u06cc\u0645\u060c \u0631\u0627\u0647\u0646\u0645\u0627\u06cc\u06cc \u0647\u0627\u06cc \u0645\u062e\u062a\u0635\u0631\u06cc \u0628\u0631\u0627\u06cc \u0646\u0635\u0628 \u0627\u0631\u0627\u0626\u0647 \u06a9\u0631\u062f\u06cc\u0645\u060c \u0627\u062c\u0632\u0627\u06cc \u0627\u0635\u0644\u06cc Core API \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 TensorFlow \u0631\u0627 \u0645\u0639\u0631\u0641\u06cc \u06a9\u0631\u062f\u06cc\u0645: \u062a\u0627\u0646\u0633\u0648\u0631\u0647\u0627\u060c \u0646\u0645\u0648\u062f\u0627\u0631\u0647\u0627 \u0648 \u062c\u0644\u0633\u0627\u062a\u060c \u0648 \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a \u06cc\u06a9 \u0645\u062f\u0644 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc \u0628\u0631\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0633\u0627\u062e\u062a\u06cc\u0645. \u0645\u062c\u0645\u0648\u0639\u0647 \u062f\u0627\u062f\u0647 \u0639\u0646\u0628\u06cc\u0647.<\/p>\n<p>\u0628\u0647 \u0637\u0648\u0631 \u06a9\u0644\u06cc\u060c \u062f\u0631\u06a9 \u0641\u0644\u0633\u0641\u0647 \u06a9\u062f\u06af\u0630\u0627\u0631\u06cc TensorFlow \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u06a9\u0645\u06cc \u0637\u0648\u0644 \u0628\u06a9\u0634\u062f\u060c \u0632\u06cc\u0631\u0627 \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0646\u0645\u0627\u062f\u06cc\u0646 \u0627\u0633\u062a\u060c \u0627\u0645\u0627 \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0628\u0627 \u0627\u062c\u0632\u0627\u06cc \u0627\u0635\u0644\u06cc \u0622\u0634\u0646\u0627 \u0634\u062f\u06cc\u062f\u060c \u0628\u0631\u0627\u06cc \u0633\u0627\u062e\u062a \u0627\u067e\u0644\u06cc\u06a9\u06cc\u0634\u0646\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u0633\u06cc\u0627\u0631 \u0631\u0627\u062d\u062a \u0627\u0633\u062a.  \u062f\u0631 \u0627\u06cc\u0646 \u067e\u0633\u062a \u0627\u0632 Core API \u0633\u0637\u062d \u067e\u0627\u06cc\u06cc\u0646 \u0628\u0631\u0627\u06cc \u0627\u0631\u0627\u0626\u0647 \u0627\u062c\u0632\u0627\u06cc \u0627\u0635\u0644\u06cc \u0648 \u06a9\u0646\u062a\u0631\u0644 \u06a9\u0627\u0645\u0644 \u0645\u062f\u0644 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u06cc\u0645\u060c \u0627\u0645\u0627 \u0645\u0639\u0645\u0648\u0644\u0627\u064b \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 API \u0633\u0637\u062d \u0628\u0627\u0644\u0627\u062a\u0631 \u0628\u0633\u06cc\u0627\u0631 \u0633\u0627\u062f\u0647 \u062a\u0631 \u0627\u0633\u062a\u060c \u0645\u0627\u0646\u0646\u062f <code>tf.estimator<\/code>\u060c \u06cc\u0627 \u062d\u062a\u06cc \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u062e\u0627\u0631\u062c\u06cc\u060c \u0645\u0627\u0646\u0646\u062f <a rel=\"nofollow noopener\" target=\"_blank\" href=\"https:\/\/keras.io\/\">\u06a9\u0631\u0627\u0633<\/a>.<\/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                        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data-payload='{&quot;align&quot;:&quot;center&quot;,&quot;id&quot;:&quot;16660&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;\u0622\u0645\u0648\u0632\u0634 \u0634\u0628\u06a9\u0647 \u0639\u0635\u0628\u06cc TensorFlow&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>TensorFlow \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647 \u0645\u0646\u0628\u0639 \u0628\u0627\u0632 \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0633\u062a. \u0627\u06cc\u0646 \u0633\u06cc\u0633\u062a\u0645 \u0646\u0633\u0644 \u062f\u0648\u0645 Google Brain \u0627\u0633\u062a\u060c \u067e\u0633 \u0627\u0632 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646\u06cc DistBelief \u0628\u0627 \u0645\u0646\u0628\u0639 \u0646\u0632\u062f\u06cc\u06a9\u060c \u0648 \u062a\u0648\u0633\u0637 Google \u0628\u0631\u0627\u06cc \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u062a\u062d\u0642\u06cc\u0642\u0627\u062a\u06cc \u0648 \u062a\u0648\u0644\u06cc\u062f\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u0634\u0648\u062f. \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0647\u0627\u06cc TensorFlow \u0631\u0627 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646 \u0628\u0647 \u0686\u0646\u062f \u0632\u0628\u0627\u0646 \u0646\u0648\u0634\u062a: Python\u060c Go\u060c Java \u0648 C. \u0627\u06cc\u0646 \u067e\u0633\u062a \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1743,620],"tags":[],"class_list":["post-16660","post","type-post","status-publish","format-standard","hentry","category-python","category-programming"],"acf":[],"_links":{"self":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16660","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=16660"}],"version-history":[{"count":0,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/posts\/16660\/revisions"}],"wp:attachment":[{"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/media?parent=16660"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/categories?post=16660"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rasanegaar.com\/blog\/wp-json\/wp\/v2\/tags?post=16660"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}