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March 8, 2019 14:48
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import tensorflow as tf\n", | |
| "from tensorflow.examples.tutorials.mnist import input_data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Extracting data/train-images-idx3-ubyte.gz\n", | |
| "Extracting data/train-labels-idx1-ubyte.gz\n", | |
| "Extracting data/t10k-images-idx3-ubyte.gz\n", | |
| "Extracting data/t10k-labels-idx1-ubyte.gz\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "mnist = input_data.read_data_sets(\"data/\", one_hot=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "test images: (10000, 784)\n", | |
| "test labels: (10000, 10)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "test_images = mnist.test.images\n", | |
| "test_labels = mnist.test.labels\n", | |
| "\n", | |
| "print(\"test images:\", test_images.shape)\n", | |
| "print(\"test labels:\", test_labels.shape)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "learning_rate = 0.5\n", | |
| "training_epochs = 1500\n", | |
| "batch_size = 50" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# 入力層 ニューロン数28*28=784, 行数可変\n", | |
| "x = tf.placeholder(tf.float32, [None, 784], name=\"input_x\")\n", | |
| "# 画像データを28*28にしてログに出力\n", | |
| "img = tf.reshape(x, [-1, 28, 28, 1])\n", | |
| "tf.summary.image(\"input_image\", img, 20)\n", | |
| "\n", | |
| "# 隠れ層 ニューロン数64\n", | |
| "with tf.name_scope(\"hidden1\"):\n", | |
| " # 重み (input 784, output 64)\n", | |
| " w1 = tf.Variable(tf.truncated_normal([784, 64], stddev=0.1), name=\"w1\")\n", | |
| " # バイアス\n", | |
| " b1 = tf.Variable(tf.zeros([64]), name=\"b1\")\n", | |
| " # 活性化関数 ReLU\n", | |
| " h1 = tf.nn.relu(tf.matmul(x, w1) + b1)\n", | |
| "\n", | |
| "# 出力層 ニューロン数10\n", | |
| "with tf.name_scope(\"output\"):\n", | |
| " # 重み input 64, output 10\n", | |
| " w2 = tf.Variable(tf.truncated_normal([64, 10], stddev=0.1), name=\"w2\")\n", | |
| " # バイアス\n", | |
| " b2 = tf.Variable(tf.zeros([10]), name=\"b2\")\n", | |
| " # 活性化関数 softmax\n", | |
| " out = tf.nn.softmax(tf.matmul(h1, w2) + b2)\n", | |
| " \n", | |
| "# 誤差関数\n", | |
| "with tf.name_scope(\"loss\"):\n", | |
| " # 正解ラベルを保持するプレースホルダ―\n", | |
| " t = tf.placeholder(tf.float32, [None, 10], name=\"correct_labels\")\n", | |
| " # 二乗和誤差の平均を損失関数に使う\n", | |
| " loss = tf.reduce_mean(tf.square(t - out))\n", | |
| " # 誤差をログとして出力\n", | |
| " tf.summary.scalar(\"loss\", loss)\n", | |
| " \n", | |
| "# 訓練 ミニマイザー\n", | |
| "with tf.name_scope(\"train\"):\n", | |
| " train_step = tf.train.GradientDescentOptimizer(learning_rate).minimize(loss)\n", | |
| " \n", | |
| "# 評価\n", | |
| "with tf.name_scope(\"accuracy\"):\n", | |
| " correct = tf.equal(tf.argmax(out, 1), tf.argmax(t, 1))\n", | |
| " accuracy = tf.reduce_mean(tf.cast(correct, tf.float32))\n", | |
| " tf.summary.scalar(\"accuracy\", accuracy)\n", | |
| "\n", | |
| "init_op = tf.global_variables_initializer()\n", | |
| "# ログのマージ\n", | |
| "summary_op = tf.summary.merge_all()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": { | |
| "scrolled": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "epoch:50 accuracy: 0.28\n" | |
| ] | |
| }, | |
| { | |
| "ename": "InvalidArgumentError", | |
| "evalue": "You must feed a value for placeholder tensor 'input_x' with dtype float and shape [?,784]\n\t [[node input_x (defined at <ipython-input-5-efa1eab084ed>:2) = Placeholder[dtype=DT_FLOAT, shape=[?,784], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n\nCaused by op 'input_x', defined at:\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\runpy.py\", line 193, in _run_module_as_main\n \"__main__\", mod_spec)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\runpy.py\", line 85, in _run_code\n exec(code, run_globals)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n app.launch_new_instance()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n app.start()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n self.io_loop.start()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 132, in start\n self.asyncio_loop.run_forever()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\base_events.py\", line 438, in run_forever\n self._run_once()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\base_events.py\", line 1451, in _run_once\n handle._run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\events.py\", line 145, in _run\n self._callback(*self._args)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\ioloop.py\", line 758, in _run_callback\n ret = callback()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\stack_context.py\", line 300, in null_wrapper\n return fn(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1233, in inner\n self.run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1147, in run\n yielded = self.gen.send(value)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 370, in dispatch_queue\n yield self.process_one()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 346, in wrapper\n runner = Runner(result, future, yielded)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1080, in __init__\n self.run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1147, in run\n yielded = self.gen.send(value)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 357, in process_one\n yield gen.maybe_future(dispatch(*args))\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 267, in dispatch_shell\n yield gen.maybe_future(handler(stream, idents, msg))\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 534, in execute_request\n user_expressions, allow_stdin,\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n res = shell.run_cell(code, store_history=store_history, silent=silent)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2843, in run_cell\n raw_cell, store_history, silent, shell_futures)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2869, in _run_cell\n return runner(coro)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 67, in _pseudo_sync_runner\n coro.send(None)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3044, in run_cell_async\n interactivity=interactivity, compiler=compiler, result=result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3209, in run_ast_nodes\n if (yield from self.run_code(code, result)):\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3291, in run_code\n exec(code_obj, self.user_global_ns, self.user_ns)\n File \"<ipython-input-5-efa1eab084ed>\", line 2, in <module>\n x = tf.placeholder(tf.float32, [None, 784], name=\"input_x\")\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\ops\\array_ops.py\", line 1747, in placeholder\n return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\ops\\gen_array_ops.py\", line 5205, in placeholder\n \"Placeholder\", dtype=dtype, shape=shape, name=name)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py\", line 787, in _apply_op_helper\n op_def=op_def)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\util\\deprecation.py\", line 488, in new_func\n return func(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 3274, in create_op\n op_def=op_def)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 1770, in __init__\n self._traceback = tf_stack.extract_stack()\n\nInvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'input_x' with dtype float and shape [?,784]\n\t [[node input_x (defined at <ipython-input-5-efa1eab084ed>:2) = Placeholder[dtype=DT_FLOAT, shape=[?,784], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n", | |
| "output_type": "error", | |
| "traceback": [ | |
| "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[1;31mInvalidArgumentError\u001b[0m Traceback (most recent call last)", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_call\u001b[1;34m(self, fn, *args)\u001b[0m\n\u001b[0;32m 1333\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1334\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1335\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mOpError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run_fn\u001b[1;34m(feed_dict, fetch_list, target_list, options, run_metadata)\u001b[0m\n\u001b[0;32m 1318\u001b[0m return self._call_tf_sessionrun(\n\u001b[1;32m-> 1319\u001b[1;33m options, feed_dict, fetch_list, target_list, run_metadata)\n\u001b[0m\u001b[0;32m 1320\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_call_tf_sessionrun\u001b[1;34m(self, options, feed_dict, fetch_list, target_list, run_metadata)\u001b[0m\n\u001b[0;32m 1406\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moptions\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtarget_list\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1407\u001b[1;33m run_metadata)\n\u001b[0m\u001b[0;32m 1408\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;31mInvalidArgumentError\u001b[0m: You must feed a value for placeholder tensor 'input_x' with dtype float and shape [?,784]\n\t [[{{node input_x}} = Placeholder[dtype=DT_FLOAT, shape=[?,784], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]", | |
| "\nDuring handling of the above exception, another exception occurred:\n", | |
| "\u001b[1;31mInvalidArgumentError\u001b[0m Traceback (most recent call last)", | |
| "\u001b[1;32m<ipython-input-12-3678a541ba4b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"epoch:%d accuracy: %.2f\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mepoch\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0macc_val\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[1;31m# イベントログをsummary_strに代入\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 14\u001b[1;33m \u001b[0msummary_str\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msummary_op\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m{\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mtest_images\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mt\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mtest_labels\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 15\u001b[0m \u001b[1;31m# イベントファイルにログを追加\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 16\u001b[0m \u001b[0msummary_writer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_summary\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msummary_str\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mepoch\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36mrun\u001b[1;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m 927\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 928\u001b[0m result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[1;32m--> 929\u001b[1;33m run_metadata_ptr)\n\u001b[0m\u001b[0;32m 930\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 931\u001b[0m \u001b[0mproto_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run\u001b[1;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m 1150\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mfinal_fetches\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mfinal_targets\u001b[0m \u001b[1;32mor\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mhandle\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mfeed_dict_tensor\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1151\u001b[0m results = self._do_run(handle, final_targets, final_fetches,\n\u001b[1;32m-> 1152\u001b[1;33m feed_dict_tensor, options, run_metadata)\n\u001b[0m\u001b[0;32m 1153\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1154\u001b[0m \u001b[0mresults\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_run\u001b[1;34m(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m 1326\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1327\u001b[0m return self._do_call(_run_fn, feeds, fetches, targets, options,\n\u001b[1;32m-> 1328\u001b[1;33m run_metadata)\n\u001b[0m\u001b[0;32m 1329\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1330\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_do_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_prun_fn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeeds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfetches\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_call\u001b[1;34m(self, fn, *args)\u001b[0m\n\u001b[0;32m 1346\u001b[0m \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1347\u001b[0m \u001b[0mmessage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0merror_interpolation\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minterpolate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_graph\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1348\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnode_def\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1349\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1350\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_extend_graph\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;31mInvalidArgumentError\u001b[0m: You must feed a value for placeholder tensor 'input_x' with dtype float and shape [?,784]\n\t [[node input_x (defined at <ipython-input-5-efa1eab084ed>:2) = Placeholder[dtype=DT_FLOAT, shape=[?,784], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n\nCaused by op 'input_x', defined at:\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\runpy.py\", line 193, in _run_module_as_main\n \"__main__\", mod_spec)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\runpy.py\", line 85, in _run_code\n exec(code, run_globals)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n app.launch_new_instance()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n app.start()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n self.io_loop.start()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 132, in start\n self.asyncio_loop.run_forever()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\base_events.py\", line 438, in run_forever\n self._run_once()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\base_events.py\", line 1451, in _run_once\n handle._run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\events.py\", line 145, in _run\n self._callback(*self._args)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\ioloop.py\", line 758, in _run_callback\n ret = callback()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\stack_context.py\", line 300, in null_wrapper\n return fn(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1233, in inner\n self.run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1147, in run\n yielded = self.gen.send(value)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 370, in dispatch_queue\n yield self.process_one()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 346, in wrapper\n runner = Runner(result, future, yielded)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1080, in __init__\n self.run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1147, in run\n yielded = self.gen.send(value)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 357, in process_one\n yield gen.maybe_future(dispatch(*args))\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 267, in dispatch_shell\n yield gen.maybe_future(handler(stream, idents, msg))\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 534, in execute_request\n user_expressions, allow_stdin,\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n res = shell.run_cell(code, store_history=store_history, silent=silent)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2843, in run_cell\n raw_cell, store_history, silent, shell_futures)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2869, in _run_cell\n return runner(coro)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 67, in _pseudo_sync_runner\n coro.send(None)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3044, in run_cell_async\n interactivity=interactivity, compiler=compiler, result=result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3209, in run_ast_nodes\n if (yield from self.run_code(code, result)):\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3291, in run_code\n exec(code_obj, self.user_global_ns, self.user_ns)\n File \"<ipython-input-5-efa1eab084ed>\", line 2, in <module>\n x = tf.placeholder(tf.float32, [None, 784], name=\"input_x\")\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\ops\\array_ops.py\", line 1747, in placeholder\n return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\ops\\gen_array_ops.py\", line 5205, in placeholder\n \"Placeholder\", dtype=dtype, shape=shape, name=name)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py\", line 787, in _apply_op_helper\n op_def=op_def)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\util\\deprecation.py\", line 488, in new_func\n return func(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 3274, in create_op\n op_def=op_def)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 1770, in __init__\n self._traceback = tf_stack.extract_stack()\n\nInvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'input_x' with dtype float and shape [?,784]\n\t [[node input_x (defined at <ipython-input-5-efa1eab084ed>:2) = Placeholder[dtype=DT_FLOAT, shape=[?,784], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "with tf.Session() as sess:\n", | |
| " summary_writer = tf.summary.FileWriter(\"logs\", sess.graph)\n", | |
| " sess.run(init_op)\n", | |
| " for epoch in range(training_epochs):\n", | |
| " # ミニバッチ抽出\n", | |
| " train_images, train_labels = mnist.train.next_batch(batch_size)\n", | |
| " sess.run(train_step, feed_dict={x:train_images, t:train_labels})\n", | |
| " \n", | |
| " epoch += 1\n", | |
| " if epoch % 50 == 0:\n", | |
| " acc_val = sess.run(accuracy, feed_dict={x:test_images, t:test_labels})\n", | |
| " print(\"epoch:%d accuracy: %.2f\" % (epoch, acc_val))\n", | |
| " # イベントログをsummary_strに代入\n", | |
| " summary_str = sess.run(summary_op, feed_dict={x:test_images, t:test_labels})\n", | |
| " # イベントファイルにログを追加\n", | |
| " summary_writer.add_summary(summary_str, epoch)\n", | |
| " summary_writer.close()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.6.8" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 7, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "import tensorflow as tf\n", | |
| "from tensorflow.examples.tutorials.mnist import input_data" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 8, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "Extracting data/train-images-idx3-ubyte.gz\n", | |
| "Extracting data/train-labels-idx1-ubyte.gz\n", | |
| "Extracting data/t10k-images-idx3-ubyte.gz\n", | |
| "Extracting data/t10k-labels-idx1-ubyte.gz\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "mnist = input_data.read_data_sets(\"data/\", one_hot=True)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 9, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "test images: (10000, 784)\n", | |
| "test labels: (10000, 10)\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "test_images = mnist.test.images\n", | |
| "test_labels = mnist.test.labels\n", | |
| "\n", | |
| "print(\"test images:\", test_images.shape)\n", | |
| "print(\"test labels:\", test_labels.shape)" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 10, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "learning_rate = 0.5\n", | |
| "training_epochs = 1500\n", | |
| "batch_size = 50" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 11, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "# 入力層 ニューロン数28*28=784, 行数可変\n", | |
| "x = tf.placeholder(tf.float32, [None, 784], name=\"input_x\")\n", | |
| "# 画像データを28*28にしてログに出力\n", | |
| "img = tf.reshape(x, [-1, 28, 28, 1])\n", | |
| "tf.summary.image(\"input_image\", img, 20)\n", | |
| "\n", | |
| "# 隠れ層 ニューロン数64\n", | |
| "with tf.name_scope(\"hidden1\"):\n", | |
| " # 重み (input 784, output 64)\n", | |
| " w1 = tf.Variable(tf.truncated_normal([784, 64], stddev=0.1), name=\"w1\")\n", | |
| " # バイアス\n", | |
| " b1 = tf.Variable(tf.zeros([64]), name=\"b1\")\n", | |
| " # 活性化関数 ReLU\n", | |
| " h1 = tf.nn.relu(tf.matmul(x, w1) + b1)\n", | |
| "\n", | |
| "# 出力層 ニューロン数10\n", | |
| "with tf.name_scope(\"output\"):\n", | |
| " # 重み input 64, output 10\n", | |
| " w2 = tf.Variable(tf.truncated_normal([64, 10], stddev=0.1), name=\"w2\")\n", | |
| " # バイアス\n", | |
| " b2 = tf.Variable(tf.zeros([10]), name=\"b2\")\n", | |
| " # 活性化関数 softmax\n", | |
| " out = tf.nn.softmax(tf.matmul(h1, w2) + b2)\n", | |
| " \n", | |
| "# 誤差関数\n", | |
| "with tf.name_scope(\"loss\"):\n", | |
| " # 正解ラベルを保持するプレースホルダ―\n", | |
| " t = tf.placeholder(tf.float32, [None, 10], name=\"correct_labels\")\n", | |
| " # 二乗和誤差の平均を損失関数に使う\n", | |
| " loss = tf.reduce_mean(tf.square(t - out))\n", | |
| " # 誤差をログとして出力\n", | |
| " tf.summary.scalar(\"loss\", loss)\n", | |
| " \n", | |
| "# 訓練 ミニマイザー\n", | |
| "with tf.name_scope(\"train\"):\n", | |
| " train_step = tf.train.GradientDescentOptimizer(learning_rate).minimize(loss)\n", | |
| " \n", | |
| "# 評価\n", | |
| "with tf.name_scope(\"accuracy\"):\n", | |
| " correct = tf.equal(tf.argmax(out, 1), tf.argmax(t, 1))\n", | |
| " accuracy = tf.reduce_mean(tf.cast(correct, tf.float32))\n", | |
| " tf.summary.scalar(\"accuracy\", accuracy)\n", | |
| "\n", | |
| "init_op = tf.global_variables_initializer()\n", | |
| "# ログのマージ\n", | |
| "summary_op = tf.summary.merge_all()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 12, | |
| "metadata": { | |
| "scrolled": false | |
| }, | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| "epoch:50 accuracy: 0.28\n" | |
| ] | |
| }, | |
| { | |
| "ename": "InvalidArgumentError", | |
| "evalue": "You must feed a value for placeholder tensor 'input_x' with dtype float and shape [?,784]\n\t [[node input_x (defined at <ipython-input-5-efa1eab084ed>:2) = Placeholder[dtype=DT_FLOAT, shape=[?,784], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n\nCaused by op 'input_x', defined at:\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\runpy.py\", line 193, in _run_module_as_main\n \"__main__\", mod_spec)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\runpy.py\", line 85, in _run_code\n exec(code, run_globals)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n app.launch_new_instance()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n app.start()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n self.io_loop.start()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 132, in start\n self.asyncio_loop.run_forever()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\base_events.py\", line 438, in run_forever\n self._run_once()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\base_events.py\", line 1451, in _run_once\n handle._run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\events.py\", line 145, in _run\n self._callback(*self._args)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\ioloop.py\", line 758, in _run_callback\n ret = callback()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\stack_context.py\", line 300, in null_wrapper\n return fn(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1233, in inner\n self.run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1147, in run\n yielded = self.gen.send(value)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 370, in dispatch_queue\n yield self.process_one()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 346, in wrapper\n runner = Runner(result, future, yielded)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1080, in __init__\n self.run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1147, in run\n yielded = self.gen.send(value)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 357, in process_one\n yield gen.maybe_future(dispatch(*args))\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 267, in dispatch_shell\n yield gen.maybe_future(handler(stream, idents, msg))\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 534, in execute_request\n user_expressions, allow_stdin,\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n res = shell.run_cell(code, store_history=store_history, silent=silent)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2843, in run_cell\n raw_cell, store_history, silent, shell_futures)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2869, in _run_cell\n return runner(coro)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 67, in _pseudo_sync_runner\n coro.send(None)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3044, in run_cell_async\n interactivity=interactivity, compiler=compiler, result=result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3209, in run_ast_nodes\n if (yield from self.run_code(code, result)):\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3291, in run_code\n exec(code_obj, self.user_global_ns, self.user_ns)\n File \"<ipython-input-5-efa1eab084ed>\", line 2, in <module>\n x = tf.placeholder(tf.float32, [None, 784], name=\"input_x\")\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\ops\\array_ops.py\", line 1747, in placeholder\n return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\ops\\gen_array_ops.py\", line 5205, in placeholder\n \"Placeholder\", dtype=dtype, shape=shape, name=name)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py\", line 787, in _apply_op_helper\n op_def=op_def)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\util\\deprecation.py\", line 488, in new_func\n return func(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 3274, in create_op\n op_def=op_def)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 1770, in __init__\n self._traceback = tf_stack.extract_stack()\n\nInvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'input_x' with dtype float and shape [?,784]\n\t [[node input_x (defined at <ipython-input-5-efa1eab084ed>:2) = Placeholder[dtype=DT_FLOAT, shape=[?,784], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n", | |
| "output_type": "error", | |
| "traceback": [ | |
| "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[1;31mInvalidArgumentError\u001b[0m Traceback (most recent call last)", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_call\u001b[1;34m(self, fn, *args)\u001b[0m\n\u001b[0;32m 1333\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1334\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1335\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mOpError\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run_fn\u001b[1;34m(feed_dict, fetch_list, target_list, options, run_metadata)\u001b[0m\n\u001b[0;32m 1318\u001b[0m return self._call_tf_sessionrun(\n\u001b[1;32m-> 1319\u001b[1;33m options, feed_dict, fetch_list, target_list, run_metadata)\n\u001b[0m\u001b[0;32m 1320\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_call_tf_sessionrun\u001b[1;34m(self, options, feed_dict, fetch_list, target_list, run_metadata)\u001b[0m\n\u001b[0;32m 1406\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_session\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moptions\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfetch_list\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtarget_list\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1407\u001b[1;33m run_metadata)\n\u001b[0m\u001b[0;32m 1408\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;31mInvalidArgumentError\u001b[0m: You must feed a value for placeholder tensor 'input_x' with dtype float and shape [?,784]\n\t [[{{node input_x}} = Placeholder[dtype=DT_FLOAT, shape=[?,784], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]", | |
| "\nDuring handling of the above exception, another exception occurred:\n", | |
| "\u001b[1;31mInvalidArgumentError\u001b[0m Traceback (most recent call last)", | |
| "\u001b[1;32m<ipython-input-12-3678a541ba4b>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"epoch:%d accuracy: %.2f\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mepoch\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0macc_val\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[1;31m# イベントログをsummary_strに代入\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 14\u001b[1;33m \u001b[0msummary_str\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msess\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msummary_op\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeed_dict\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m{\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mtest_images\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mt\u001b[0m\u001b[1;33m:\u001b[0m\u001b[0mtest_labels\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 15\u001b[0m \u001b[1;31m# イベントファイルにログを追加\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 16\u001b[0m \u001b[0msummary_writer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_summary\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msummary_str\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mepoch\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36mrun\u001b[1;34m(self, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m 927\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 928\u001b[0m result = self._run(None, fetches, feed_dict, options_ptr,\n\u001b[1;32m--> 929\u001b[1;33m run_metadata_ptr)\n\u001b[0m\u001b[0;32m 930\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mrun_metadata\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 931\u001b[0m \u001b[0mproto_data\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf_session\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTF_GetBuffer\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrun_metadata_ptr\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_run\u001b[1;34m(self, handle, fetches, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m 1150\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mfinal_fetches\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mfinal_targets\u001b[0m \u001b[1;32mor\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mhandle\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mfeed_dict_tensor\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1151\u001b[0m results = self._do_run(handle, final_targets, final_fetches,\n\u001b[1;32m-> 1152\u001b[1;33m feed_dict_tensor, options, run_metadata)\n\u001b[0m\u001b[0;32m 1153\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1154\u001b[0m \u001b[0mresults\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_run\u001b[1;34m(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)\u001b[0m\n\u001b[0;32m 1326\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mhandle\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1327\u001b[0m return self._do_call(_run_fn, feeds, fetches, targets, options,\n\u001b[1;32m-> 1328\u001b[1;33m run_metadata)\n\u001b[0m\u001b[0;32m 1329\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1330\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_do_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_prun_fn\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mhandle\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfeeds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfetches\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32m~\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\client\\session.py\u001b[0m in \u001b[0;36m_do_call\u001b[1;34m(self, fn, *args)\u001b[0m\n\u001b[0;32m 1346\u001b[0m \u001b[1;32mpass\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1347\u001b[0m \u001b[0mmessage\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0merror_interpolation\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0minterpolate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmessage\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_graph\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1348\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnode_def\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mop\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1349\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1350\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_extend_graph\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;31mInvalidArgumentError\u001b[0m: You must feed a value for placeholder tensor 'input_x' with dtype float and shape [?,784]\n\t [[node input_x (defined at <ipython-input-5-efa1eab084ed>:2) = Placeholder[dtype=DT_FLOAT, shape=[?,784], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n\nCaused by op 'input_x', defined at:\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\runpy.py\", line 193, in _run_module_as_main\n \"__main__\", mod_spec)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\runpy.py\", line 85, in _run_code\n exec(code, run_globals)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel_launcher.py\", line 16, in <module>\n app.launch_new_instance()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\traitlets\\config\\application.py\", line 658, in launch_instance\n app.start()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelapp.py\", line 505, in start\n self.io_loop.start()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\platform\\asyncio.py\", line 132, in start\n self.asyncio_loop.run_forever()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\base_events.py\", line 438, in run_forever\n self._run_once()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\base_events.py\", line 1451, in _run_once\n handle._run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\asyncio\\events.py\", line 145, in _run\n self._callback(*self._args)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\ioloop.py\", line 758, in _run_callback\n ret = callback()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\stack_context.py\", line 300, in null_wrapper\n return fn(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1233, in inner\n self.run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1147, in run\n yielded = self.gen.send(value)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 370, in dispatch_queue\n yield self.process_one()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 346, in wrapper\n runner = Runner(result, future, yielded)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1080, in __init__\n self.run()\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 1147, in run\n yielded = self.gen.send(value)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 357, in process_one\n yield gen.maybe_future(dispatch(*args))\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 267, in dispatch_shell\n yield gen.maybe_future(handler(stream, idents, msg))\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\kernelbase.py\", line 534, in execute_request\n user_expressions, allow_stdin,\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tornado\\gen.py\", line 326, in wrapper\n yielded = next(result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\ipkernel.py\", line 294, in do_execute\n res = shell.run_cell(code, store_history=store_history, silent=silent)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\ipykernel\\zmqshell.py\", line 536, in run_cell\n return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2843, in run_cell\n raw_cell, store_history, silent, shell_futures)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 2869, in _run_cell\n return runner(coro)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\async_helpers.py\", line 67, in _pseudo_sync_runner\n coro.send(None)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3044, in run_cell_async\n interactivity=interactivity, compiler=compiler, result=result)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3209, in run_ast_nodes\n if (yield from self.run_code(code, result)):\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\IPython\\core\\interactiveshell.py\", line 3291, in run_code\n exec(code_obj, self.user_global_ns, self.user_ns)\n File \"<ipython-input-5-efa1eab084ed>\", line 2, in <module>\n x = tf.placeholder(tf.float32, [None, 784], name=\"input_x\")\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\ops\\array_ops.py\", line 1747, in placeholder\n return gen_array_ops.placeholder(dtype=dtype, shape=shape, name=name)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\ops\\gen_array_ops.py\", line 5205, in placeholder\n \"Placeholder\", dtype=dtype, shape=shape, name=name)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\op_def_library.py\", line 787, in _apply_op_helper\n op_def=op_def)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\util\\deprecation.py\", line 488, in new_func\n return func(*args, **kwargs)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 3274, in create_op\n op_def=op_def)\n File \"C:\\Users\\naoki\\Anaconda3\\envs\\book1\\lib\\site-packages\\tensorflow\\python\\framework\\ops.py\", line 1770, in __init__\n self._traceback = tf_stack.extract_stack()\n\nInvalidArgumentError (see above for traceback): You must feed a value for placeholder tensor 'input_x' with dtype float and shape [?,784]\n\t [[node input_x (defined at <ipython-input-5-efa1eab084ed>:2) = Placeholder[dtype=DT_FLOAT, shape=[?,784], _device=\"/job:localhost/replica:0/task:0/device:CPU:0\"]()]]\n" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "with tf.Session() as sess:\n", | |
| " summary_writer = tf.summary.FileWriter(\"logs\", sess.graph)\n", | |
| " sess.run(init_op)\n", | |
| " for epoch in range(training_epochs):\n", | |
| " # ミニバッチ抽出\n", | |
| " train_images, train_labels = mnist.train.next_batch(batch_size)\n", | |
| " sess.run(train_step, feed_dict={x:train_images, t:train_labels})\n", | |
| " \n", | |
| " epoch += 1\n", | |
| " if epoch % 50 == 0:\n", | |
| " acc_val = sess.run(accuracy, feed_dict={x:test_images, t:test_labels})\n", | |
| " print(\"epoch:%d accuracy: %.2f\" % (epoch, acc_val))\n", | |
| " # イベントログをsummary_strに代入\n", | |
| " summary_str = sess.run(summary_op, feed_dict={x:test_images, t:test_labels})\n", | |
| " # イベントファイルにログを追加\n", | |
| " summary_writer.add_summary(summary_str, epoch)\n", | |
| " summary_writer.close()" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.6.8" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
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