update

Author: LinXueyuanStdio

DeepLearning/tensorflow/CNN.ipynb

@@ -114,14 +114,21 @@
     "\n",
     "for i in range(1000):\n",
     "    batch = mnist.train.next_batch(50)\n",
+    "    print(batch[0])\n",
     "    train_step.run(feed_dict={x: batch[0], y_: batch[1]})\n",
     "\n",
     "correct_prediction = tf.equal(tf.argmax(y,1), tf.argmax(y_,1))\n",
     "accuracy = tf.reduce_mean(tf.cast(correct_prediction, \"float\"))\n",
     "\n",
-    "print (accuracy.eval(feed_dict={x: mnist.test.images, y_: mnist.test.labels}))\n",
-    "\n",
-    "\n",
+    "print (accuracy.eval(feed_dict={x: mnist.test.images, y_: mnist.test.labels}))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
     "#CNN\n",
     "\n",
     "#我们会建立大量权重和偏置项，为了方便，定义初始函数\n",
@@ -264,7 +271,7 @@
     "\n",
     "\n",
     "sess.run(tf.initialize_all_variables())\n",
-    "for i in range(1000): # 训练3000回合\n",
+    "for i in range(1): # 训练3000回合\n",
     "    batch = mnist.train.next_batch(50)\n",
     "    \n",
     "    if i%100 == 0: # 每100回合输出一次\n",