{"id":128188,"date":"2024-03-25T05:30:00","date_gmt":"2024-03-24T20:30:00","guid":{"rendered":"https:\/\/www.silicloud.com\/ja\/blog\/tensorflow%e3%83%95%e3%83%ac%e3%83%bc%e3%83%a0%e3%83%af%e3%83%bc%e3%82%af%e3%81%a7%e3%81%ae%e3%83%87%e3%82%a3%e3%83%bc%e3%83%97%e3%83%a9%e3%83%bc%e3%83%8b%e3%83%b3%e3%82%b0%e3%81%ae%e6%b4%bb%e7%94%a8\/"},"modified":"2024-04-05T20:48:36","modified_gmt":"2024-04-05T11:48:36","slug":"tensorflow%e3%83%95%e3%83%ac%e3%83%bc%e3%83%a0%e3%83%af%e3%83%bc%e3%82%af%e3%81%a7%e3%81%ae%e3%83%87%e3%82%a3%e3%83%bc%e3%83%97%e3%83%a9%e3%83%bc%e3%83%8b%e3%83%b3%e3%82%b0%e3%81%ae%e6%b4%bb%e7%94%a8","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/ja\/blog\/tensorflow%e3%83%95%e3%83%ac%e3%83%bc%e3%83%a0%e3%83%af%e3%83%bc%e3%82%af%e3%81%a7%e3%81%ae%e3%83%87%e3%82%a3%e3%83%bc%e3%83%97%e3%83%a9%e3%83%bc%e3%83%8b%e3%83%b3%e3%82%b0%e3%81%ae%e6%b4%bb%e7%94%a8\/","title":{"rendered":"TensorFlow\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u6d3b\u7528\u6cd5"},"content":{"rendered":"

TensorFlow\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u4f7f\u7528\u3057\u305f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u30b9\u30c6\u30c3\u30d7\u306b\u5206\u3051\u3066\u5b9f\u65bd\u3067\u304d\u307e\u3059\u3002<\/p>\n

    \n
  1. TensorFlow\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff1a\u307e\u305a\u3001\u304a\u4f7f\u3044\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306bTensorFlow\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002TensorFlow\u306f\u3001\u30b3\u30de\u30f3\u30c9\u30e9\u30a4\u30f3\u3067pip\u30b3\u30de\u30f3\u30c9\u3092\u4f7f\u7528\u3057\u3066\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3067\u304d\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001Windows\u3067\u306f\u6b21\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002pip install tensorflow\u3002<\/li>\n
  2. TensorFlow\u306e\u30a4\u30f3\u30dd\u30fc\u30c8\uff1aPython\u30b3\u30fc\u30c9\u3067\u306f\u3001TensorFlow\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002TensorFlow\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3059\u308b\u306b\u306f\u3001\u4ee5\u4e0b\u306e\u30b3\u30fc\u30c9\u884c\u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ol>\n
    import tensorflow as tf\r\n<\/code><\/pre>\n
      \n
    1. \u8a08\u7b97\u30b0\u30e9\u30d5\u306e\u4f5c\u6210\uff1aTensorFlow\u306f\u8a08\u7b97\u30b0\u30e9\u30d5\u3092\u5229\u7528\u3057\u3066\u6df1\u5c64\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u8868\u3057\u307e\u3059\u3002\u30e2\u30c7\u30eb\u306e\u5165\u529b\u3001\u51fa\u529b\u3001\u5909\u6570\u3001\u64cd\u4f5c\u3092\u8a08\u7b97\u30b0\u30e9\u30d5\u5185\u3067\u5b9a\u7fa9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b3\u30fc\u30c9\u3067\u7c21\u5358\u306a\u8a08\u7b97\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ol>\n
      # \u521b\u5efa\u8f93\u5165\u5360\u4f4d\u7b26\r\nx = tf.placeholder(tf.float32, shape=(None, input_dim))\r\ny = tf.placeholder(tf.float32, shape=(None, output_dim))\r\n# \u521b\u5efa\u53d8\u91cf\r\nweights = tf.Variable(tf.random_normal((input_dim, output_dim)))\r\nbiases = tf.Variable(tf.zeros(output_dim))\r\n# \u521b\u5efa\u64cd\u4f5c\r\noutput = tf.matmul(x, weights) + biases\r\n<\/code><\/pre>\n
        \n
      1. \u640d\u5931\u95a2\u6570\u3092\u5b9a\u7fa9\u3057\u307e\u3057\u3087\u3046\u3002\u640d\u5931\u95a2\u6570\u306f\u3001\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u3068\u771f\u306e\u30e9\u30d9\u30eb\u306e\u5dee\u3092\u6e2c\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002\u554f\u984c\u306b\u5fdc\u3058\u3066\u9069\u5207\u306a\u640d\u5931\u95a2\u6570\u3092\u9078\u629e\u3067\u304d\u307e\u3059\u3002\u305f\u3068\u3048\u3070\u3001\u56de\u5e30\u554f\u984c\u3067\u306f\u3001\u640d\u5931\u95a2\u6570\u3068\u3057\u3066\u5e73\u5747\u4e8c\u4e57\u8aa4\u5dee (MSE) \u3092\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ol>\n
        loss = tf.reduce_mean(tf.square(output - y))\r\n<\/code><\/pre>\n
          \n
        1. \u6700\u9069\u5316\u5668\u3068\u306f\u3001\u640d\u5931\u95a2\u6570\u3092\u6700\u5c0f\u5316\u3059\u308b\u305f\u3081\u306b\u30e2\u30c7\u30eb\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u66f4\u65b0\u3059\u308b\u305f\u3081\u306b\u4f7f\u308f\u308c\u308b\u3082\u306e\u3067\u3001\u554f\u984c\u306b\u6700\u9069\u306a\u3082\u306e\u3092\u9078\u629e\u3067\u304d\u308b\u3002\u4f8b\u3048\u3070\u3001\u52fe\u914d\u964d\u4e0b\u6700\u9069\u5316\u5668\u7b49\u3092\u4f7f\u7528\u3067\u304d\u308b\u3002<\/li>\n<\/ol>\n
          optimizer = tf.train.GradientDescentOptimizer(learning_rate)\r\ntrain_op = optimizer.minimize(loss)\r\n<\/code><\/pre>\n
            \n
          1. \u30e2\u30c7\u30eb\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\uff1a\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u524d\u306b\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7528\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7528\u610f\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u305d\u306e\u5f8c\u3001TensorFlow\u30bb\u30c3\u30b7\u30e7\u30f3\uff08session\uff09\u3092\u4f7f\u7528\u3057\u3066\u8a08\u7b97\u30b0\u30e9\u30d5\u3092\u5b9f\u884c\u3057\u3001\u53cd\u5fa9\u7684\u306b\u30e2\u30c7\u30eb\u3092\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n
            with tf.Session() as sess:\r\nsess.run(tf.global_variables_initializer())\r\nfor i in range(num_epochs):\r\n_, current_loss = sess.run([train_op, loss], feed_dict={x: train_X, y: train_y})\r\nif i % 100 == 0:\r\nprint(\"Epoch: {}, Loss: {}\".format(i, current_loss))\r\n<\/code><\/pre>\n
              \n
            1. \u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7d42\u4e86\u5f8c\u306f\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3055\u308c\u305f\u30e2\u30c7\u30eb\u3092\u4f7f\u3063\u3066\u4e88\u6e2c\u3092\u884c\u3046\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002TensorFlow \u3067\u306f\u3001\u8a08\u7b97\u30b0\u30e9\u30d5\u306e\u4e00\u90e8\u3092\u5b9f\u884c\u3059\u308b\u3053\u3068\u3067\u30e2\u30c7\u30eb\u306e\u4e88\u6e2c\u7d50\u679c\u3092\u53d6\u5f97\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ol>\n
              with tf.Session() as sess:\r\npredicted_output = sess.run(output, feed_dict={x: test_X})\r\n<\/code><\/pre>\n
              TensorFlow\u306b\u3088\u308b\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u57fa\u672c\u7684\u306a\u624b\u9806\u306b\u3059\u304e\u306a\u3044\u306e\u3067\u3001\u5b9f\u969b\u306b\u306f\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u3001\u30e2\u30c7\u30eb\u306e\u8a55\u4fa1\u3068\u8abf\u6574\u306a\u3069\u306e\u30b9\u30c6\u30c3\u30d7\u3082\u5fc5\u8981\u306b\u306a\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"
              TensorFlow\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u4f7f\u7528\u3057\u305f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u30b9\u30c6\u30c3\u30d7\u306b\u5206\u3051\u3066\u5b9f\u65bd\u3067\u304d\u307e\u3059\u3002 TensorFlow\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff1a\u307e\u305a\u3001\u304a\u4f7f\u3044\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306bTensorFlow\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-128188","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\nTensorFlow\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u6d3b\u7528\u6cd5 - Blog - Silicon Cloud<\/title>\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\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u6d3b\u7528\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"TensorFlow\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u6d3b\u7528\u6cd5\" \/>\n<meta property=\"og:description\" content=\"TensorFlow\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u4f7f\u7528\u3057\u305f\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306f\u3001\u3044\u304f\u3064\u304b\u306e\u30b9\u30c6\u30c3\u30d7\u306b\u5206\u3051\u3066\u5b9f\u65bd\u3067\u304d\u307e\u3059\u3002 TensorFlow\u306e\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff1a\u307e\u305a\u3001\u304a\u4f7f\u3044\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u306bTensorFlow\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/ja\/blog\/tensorflow\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u306e\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0\u306e\u6d3b\u7528\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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