{"id":6205,"date":"2024-03-14T17:14:11","date_gmt":"2024-03-14T08:14:11","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/tensorflow%e3%83%a2%e3%83%87%e3%83%ab%e3%81%ae%e3%83%88%e3%83%ac%e3%83%bc%e3%83%8b%e3%83%b3%e3%82%b0%e3%83%97%e3%83%ad%e3%82%bb%e3%82%b9%e3%82%92%e5%8f%af%e8%a6%96%e5%8c%96%e3%81%99%e3%82%8b%e3%81%9f\/"},"modified":"2025-08-03T07:48:55","modified_gmt":"2025-08-02T22:48:55","slug":"tensorflow%e3%83%a2%e3%83%87%e3%83%ab%e3%81%ae%e3%83%88%e3%83%ac%e3%83%bc%e3%83%8b%e3%83%b3%e3%82%b0%e3%83%97%e3%83%ad%e3%82%bb%e3%82%b9%e3%82%92%e5%8f%af%e8%a6%96%e5%8c%96%e3%81%99%e3%82%8b%e3%81%9f","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/tensorflow%e3%83%a2%e3%83%87%e3%83%ab%e3%81%ae%e3%83%88%e3%83%ac%e3%83%bc%e3%83%8b%e3%83%b3%e3%82%b0%e3%83%97%e3%83%ad%e3%82%bb%e3%82%b9%e3%82%92%e5%8f%af%e8%a6%96%e5%8c%96%e3%81%99%e3%82%8b%e3%81%9f\/","title":{"rendered":"TensorBoard\u3067TensorFlow\u30e2\u30c7\u30eb\u5b66\u7fd2\u3092\u53ef\u8996\u5316\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"

TensorFlow\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30bb\u30b9\u3092\u8996\u899a\u5316\u3059\u308b\u305f\u3081\u306bTensorBoard\u3092\u4f7f\u7528\u3059\u308b\u306b\u306f\u3001\u4ee5\u4e0b\u306e\u624b\u9806\u306b\u5f93\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n

    \n
  1. TensorBoard\u306e\u30b3\u30fc\u30eb\u30d0\u30c3\u30af\u95a2\u6570\u3092\u30b3\u30fc\u30c9\u306b\u8ffd\u52a0\u3059\u308b\uff1aTensorFlow\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u4e2d\u3001TensorBoard\u30b3\u30fc\u30eb\u30d0\u30c3\u30af\u95a2\u6570\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u3067\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30bb\u30b9\u4e2d\u306e\u30e1\u30c8\u30ea\u30af\u30b9\u30c7\u30fc\u30bf\uff08\u640d\u5931\u5024\u3001\u7cbe\u5ea6\u306a\u3069\uff09\u3092\u53ce\u96c6\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3059\u308b\u969b\u306b\u306f\u3001tf.keras.callbacks.TensorBoard()\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066TensorBoard\u30b3\u30fc\u30eb\u30d0\u30c3\u30af\u95a2\u6570\u3092\u8ffd\u52a0\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u5177\u4f53\u7684\u306a\u30b3\u30fc\u30c9\u4f8b\u306f\u4ee5\u4e0b\u306e\u901a\u308a\u3067\u3059\uff1a<\/li>\n<\/ol>\n
    import<\/span> tensorflow as<\/span> tf\r\nfrom<\/span> tensorflow.keras.callbacks import<\/span> TensorBoard\r\n\r\n# \u521b\u5efaTensorBoard\u56de\u8c03\u51fd\u6570<\/span>\r\ntensorboard_callback = TensorBoard(log_dir=\"logs\"<\/span>)\r\n\r\n# \u521b\u5efa\u5e76\u7f16\u8bd1\u6a21\u578b<\/span>\r\nmodel = tf.keras.Sequential([\r\n    tf.keras.layers.Dense(128<\/span>, activation='relu'<\/span>),\r\n    tf.keras.layers.Dense(10<\/span>, activation='softmax'<\/span>)\r\n])\r\n\r\nmodel.compile<\/span>(optimizer='adam'<\/span>,\r\n              loss='sparse_categorical_crossentropy'<\/span>,\r\n              metrics=['accuracy'<\/span>])\r\n\r\n# \u8bad\u7ec3\u6a21\u578b\u5e76\u6dfb\u52a0TensorBoard\u56de\u8c03\u51fd\u6570<\/span>\r\nmodel.fit(train_images, train_labels, epochs=10<\/span>, callbacks=[tensorboard_callback])\r\n<\/code><\/pre>\n
      \n
    1. TensorBoard\u30b5\u30fc\u30d0\u30fc\u3092\u8d77\u52d5\u3059\u308b\uff1a\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u4e2d\u3001TensorBoard\u306f\u53ce\u96c6\u3057\u305f\u30e1\u30c8\u30ea\u30af\u30b9\u30c7\u30fc\u30bf\u3092\u6307\u5b9a\u3057\u305f\u30ed\u30b0\u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u306b\u4fdd\u5b58\u3057\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u30c7\u30fc\u30bf\u3092\u898b\u308b\u306b\u306f\u3001TensorBoard\u30b5\u30fc\u30d0\u30fc\u3092\u8d77\u52d5\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002TensorBoard\u30b5\u30fc\u30d0\u30fc\u3092\u8d77\u52d5\u3059\u308b\u306b\u306f\u3001\u30b3\u30de\u30f3\u30c9\u30e9\u30a4\u30f3\u3067\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n
      tensorboard --logdir=logs\r\n<\/code><\/pre>\n
        \n
      1. TensorBoard\u306e\u753b\u9762\u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u306b\u306f\u3001\u30d6\u30e9\u30a6\u30b6\u306bhttp:\/\/localhost:6006\/\u3092\u5165\u529b\u3059\u308b\u3068\u3001TensorBoard\u306e\u753b\u9762\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u307e\u3059\u3002TensorBoard\u306e\u753b\u9762\u3067\u306f\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u4e2d\u306e\u640d\u5931\u5024\u3084\u7cbe\u5ea6\u306a\u3069\u306e\u6307\u6a19\u30c7\u30fc\u30bf\u3092\u78ba\u8a8d\u3057\u3001\u66f2\u7dda\u30b0\u30e9\u30d5\u3084\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u306a\u3069\u306e\u30d3\u30b8\u30e5\u30a2\u30eb\u8868\u793a\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ol>\n
        \u4e0a\u8a18\u306e\u624b\u9806\u3092\u7d4c\u3066\u3001TensorBoard\u3092\u4f7f\u7528\u3057\u3066TensorFlow\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30bb\u30b9\u3092\u53ef\u8996\u5316\u3057\u3001\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u72b6\u6cc1\u3092\u3088\u308a\u76f4\u611f\u7684\u306b\u7406\u89e3\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
        TensorFlow\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30bb\u30b9\u3092\u8996\u899a\u5316\u3059\u308b\u305f\u3081\u306bTensorBoard\u3092\u4f7f\u7528\u3059\u308b\u306b\u306f\u3001\u4ee5\u4e0b\u306e\u624b\u9806\u306b\u5f93\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002 TensorBoard\u306e\u30b3\u30fc\u30eb\u30d0\u30c3\u30af\u95a2\u6570\u3092\u30b3\u30fc\u30c9\u306b\u8ffd\u52a0\u3059\u308b\uff1aTensorFlow\u30e2 […]<\/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":[1755,1638,1756,290,30],"class_list":["post-6205","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-tensorboard","tag-tensorflow","tag-1756","tag-290","tag-30"],"yoast_head":"\nTensorBoard\u3067TensorFlow\u30e2\u30c7\u30eb\u5b66\u7fd2\u3092\u53ef\u8996\u5316\u3059\u308b\u65b9\u6cd5 - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"TensorFlow\u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u30d7\u30ed\u30bb\u30b9\u3092TensorBoard\u3067\u53ef\u8996\u5316\u3059\u308b\u65b9\u6cd5\u3092\u89e3\u8aac\u3002\u30b0\u30e9\u30d5\u3084\u30e1\u30c8\u30ea\u30af\u30b9\u3092\u4f7f\u3063\u3066\u5b66\u7fd2\u72b6\u6cc1\u3092\u628a\u63e1\u3057\u3001\u30e2\u30c7\u30eb\u6539\u5584\u306b\u5f79\u7acb\u3066\u307e\u3057\u3087\u3046\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/ja\/blog\/tensorflow\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30bb\u30b9\u3092\u53ef\u8996\u5316\u3059\u308b\u305f\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"TensorBoard\u3067TensorFlow\u30e2\u30c7\u30eb\u5b66\u7fd2\u3092\u53ef\u8996\u5316\u3059\u308b\u65b9\u6cd5\" \/>\n<meta property=\"og:description\" content=\"TensorFlow\u30e2\u30c7\u30eb\u306e\u5b66\u7fd2\u30d7\u30ed\u30bb\u30b9\u3092TensorBoard\u3067\u53ef\u8996\u5316\u3059\u308b\u65b9\u6cd5\u3092\u89e3\u8aac\u3002\u30b0\u30e9\u30d5\u3084\u30e1\u30c8\u30ea\u30af\u30b9\u3092\u4f7f\u3063\u3066\u5b66\u7fd2\u72b6\u6cc1\u3092\u628a\u63e1\u3057\u3001\u30e2\u30c7\u30eb\u6539\u5584\u306b\u5f79\u7acb\u3066\u307e\u3057\u3087\u3046\u3002\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/ja\/blog\/tensorflow\u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30bb\u30b9\u3092\u53ef\u8996\u5316\u3059\u308b\u305f\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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