{"id":22789,"date":"2024-03-16T20:31:56","date_gmt":"2024-03-16T11:31:56","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/tensorflow%e3%81%a7%e3%83%a2%e3%83%87%e3%83%ab%e3%82%92%e8%a8%93%e7%b7%b4%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99%e3%81%8b%ef%bc%9f\/"},"modified":"2025-08-07T12:46:59","modified_gmt":"2025-08-07T03:46:59","slug":"tensorflow%e3%81%a7%e3%83%a2%e3%83%87%e3%83%ab%e3%82%92%e8%a8%93%e7%b7%b4%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99%e3%81%8b%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/tensorflow%e3%81%a7%e3%83%a2%e3%83%87%e3%83%ab%e3%82%92%e8%a8%93%e7%b7%b4%e3%81%99%e3%82%8b%e6%96%b9%e6%b3%95%e3%81%af%e4%bd%95%e3%81%a7%e3%81%99%e3%81%8b%ef%bc%9f\/","title":{"rendered":"TensorFlow\u3067\u30e2\u30c7\u30eb\u3092\u8a13\u7df4\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f"},"content":{"rendered":"<p>TensorFlow\u3067\u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u5834\u5408\u3001\u901a\u5e38\u4ee5\u4e0b\u306e\u30b9\u30c6\u30c3\u30d7\u304c\u542b\u307e\u308c\u307e\u3059\uff1a<\/p>\n<ol>\n<li>\u30c7\u30fc\u30bf\u6e96\u5099\uff1a\u6700\u521d\u306b\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u3068\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u6e96\u5099\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u306b\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u8aad\u307f\u8fbc\u307f\u3068\u30ed\u30fc\u30c9\u3001\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u3001\u30c7\u30fc\u30bf\u306e\u5206\u5272\u304c\u542b\u307e\u308c\u307e\u3059\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9\uff1aTensorFlow\u306e\u9ad8\u5ea6\u306aAPI\uff08Keras\u306a\u3069\uff09\u3084\u4f4e\u30ec\u30d9\u30eb\u306aAPI\uff08tf.Module\u3084tf.keras.Model\u306a\u3069\uff09\u3092\u4f7f\u7528\u3057\u3066\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3057\u307e\u3059\u3002\u30e2\u30c7\u30eb\u306f\u30bc\u30ed\u304b\u3089\u69cb\u7bc9\u3059\u308b\u304b\u3001\u4e8b\u524d\u306b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305f\u30e2\u30c7\u30eb\u3092\u5fae\u8abf\u6574\u3057\u3066\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u306e\u9069\u5207\u306a\u640d\u5931\u95a2\u6570\u3092\u9078\u629e\u3059\u308b\u305f\u3081\u306e\u640d\u5931\u95a2\u6570\u306e\u5b9a\u7fa9\u306f\u3001\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u3068\u5b9f\u969b\u306e\u30e9\u30d9\u30eb\u3068\u306e\u9593\u306e\u5dee\u3092\u6e2c\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/li>\n<li>\u6700\u9069\u5316\u624b\u6cd5\u306e\u9078\u629e\uff1a\u9069\u5207\u306a\u6700\u9069\u5316\u624b\u6cd5\u3001\u4f8b\u3048\u3070\u78ba\u7387\u7684\u52fe\u914d\u964d\u4e0b\u6cd5\uff08SGD\uff09\u3084Adam\u3092\u9078\u629e\u3057\u3001\u5b66\u7fd2\u7387\u3092\u5b9a\u7fa9\u3057\u307e\u3059\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u306e\u8a13\u7df4\uff1a \u8a13\u7df4\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u3066\u30e2\u30c7\u30eb\u3092\u8a13\u7df4\u3057\u307e\u3059\u3002 \u5404\u8a13\u7df4\u30b9\u30c6\u30c3\u30d7\u3067\u3001\u6700\u9069\u5316\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u640d\u5931\u95a2\u6570\u306b\u57fa\u3065\u3044\u3066\u52fe\u914d\u3092\u8a08\u7b97\u3057\u3001\u30e2\u30c7\u30eb\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u66f4\u65b0\u3057\u307e\u3059\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u306e\u8a55\u4fa1\uff1a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305f\u30e2\u30c7\u30eb\u3092\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u3066\u8a55\u4fa1\u3057\u307e\u3059\u3002\u30e2\u30c7\u30eb\u306e\u6027\u80fd\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u306f\u3001\u4e8b\u524d\u5b9a\u7fa9\u3055\u308c\u305f\u8a55\u4fa1\u57fa\u6e96\uff08\u4f8b\uff1a\u6b63\u89e3\u7387\u3001\u9069\u5408\u7387\u3001\u518d\u73fa\u7387\uff09\u3092\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n<li>\u30e2\u30c7\u30eb\u4fdd\u5b58\uff1a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u304c\u5b8c\u4e86\u3057\u305f\u5f8c\u3001\u5c06\u6765\u306e\u4f7f\u7528\u306e\u305f\u3081\u306b\u30e2\u30c7\u30eb\u3092\u30c7\u30a3\u30b9\u30af\u306b\u4fdd\u5b58\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ol>\n<p>TensorFlow\u306e\u7c21\u5358\u306a\u4f8b\u3092\u4ee5\u4e0b\u306b\u793a\u3057\u307e\u3059\uff1a<\/p>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">import<\/span> tensorflow <span class=\"hljs-keyword\">as<\/span> tf\r\n\r\n<span class=\"hljs-comment\"># \u6570\u636e\u51c6\u5907<\/span>\r\ntrain_data = ...\r\ntrain_labels = ...\r\ntest_data = ...\r\ntest_labels = ...\r\n\r\n<span class=\"hljs-comment\"># \u6a21\u578b\u6784\u5efa<\/span>\r\nmodel = tf.keras.models.Sequential([\r\n  tf.keras.layers.Dense(<span class=\"hljs-number\">64<\/span>, activation=<span class=\"hljs-string\">'relu'<\/span>),\r\n  tf.keras.layers.Dense(<span class=\"hljs-number\">10<\/span>, activation=<span class=\"hljs-string\">'softmax'<\/span>)\r\n])\r\n\r\n<span class=\"hljs-comment\"># \u635f\u5931\u51fd\u6570\u5b9a\u4e49<\/span>\r\nloss_fn = tf.keras.losses.SparseCategoricalCrossentropy()\r\n\r\n<span class=\"hljs-comment\"># \u4f18\u5316\u5668\u9009\u62e9<\/span>\r\noptimizer = tf.keras.optimizers.Adam(learning_rate=<span class=\"hljs-number\">0.001<\/span>)\r\n\r\n<span class=\"hljs-comment\"># \u8bad\u7ec3\u6a21\u578b<\/span>\r\nmodel.<span class=\"hljs-built_in\">compile<\/span>(optimizer=optimizer, loss=loss_fn, metrics=[<span class=\"hljs-string\">'accuracy'<\/span>])\r\nmodel.fit(train_data, train_labels, epochs=<span class=\"hljs-number\">10<\/span>)\r\n\r\n<span class=\"hljs-comment\"># \u6a21\u578b\u8bc4\u4f30<\/span>\r\nmodel.evaluate(test_data, test_labels)\r\n\r\n<span class=\"hljs-comment\"># \u6a21\u578b\u4fdd\u5b58<\/span>\r\nmodel.save(<span class=\"hljs-string\">'my_model'<\/span>)\r\n<\/code><\/pre>\n<p>\u3053\u308c\u306f\u5358\u306a\u308b\u4f8b\u3067\u3059\u306e\u3067\u3001\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u30e2\u30c7\u30eb\u306e\u8907\u96d1\u3055\u3092\u8abf\u6574\u3057\u62e1\u5f35\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>TensorFlow\u3067\u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u5834\u5408\u3001\u901a\u5e38\u4ee5\u4e0b\u306e\u30b9\u30c6\u30c3\u30d7\u304c\u542b\u307e\u308c\u307e\u3059\uff1a \u30c7\u30fc\u30bf\u6e96\u5099\uff1a\u6700\u521d\u306b\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u3068\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u6e96\u5099\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u306b\u306f\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u8aad\u307f\u8fbc\u307f\u3068\u30ed\u30fc\u30c9\u3001\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406 [&hellip;]<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[26,61],"class_list":["post-22789","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-26","tag-61"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>TensorFlow\u3067\u30e2\u30c7\u30eb\u3092\u8a13\u7df4\u3059\u308b\u65b9\u6cd5\u306f\u4f55\u3067\u3059\u304b\uff1f - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" 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