Fixed data directories

mingxuan-yi · mingxuan-yi · commit 101df4e851c7 · 2017-02-15T00:28:31.000+08:00
diff --git a/Deep_Learning_with_TensorFlow/0.12.1/Chapter04/1. &#33258;&#23450;&#20041;&#25439;&#22833;&#20989;&#25968;.ipynb b/Deep_Learning_with_TensorFlow/0.12.1/Chapter04/1. &#33258;&#23450;&#20041;&#25439;&#22833;&#20989;&#25968;.ipynb
@@ -244,7 +244,7 @@
     }
    ],
    "source": [
-    "loss = tf.losses.mean_squared_error(y, y_)\n",
+    "loss = tf.contrib.losses.mean_squared_error(y, y_)\n",
     "train_step = tf.train.AdamOptimizer(0.001).minimize(loss)\n",
     "\n",
     "with tf.Session() as sess:\n",
diff --git a/Deep_Learning_with_TensorFlow/0.12.1/Chapter09/2. &#25913;&#36896;&#21518;&#30340;mnist_train.ipynb b/Deep_Learning_with_TensorFlow/0.12.1/Chapter09/2. &#25913;&#36896;&#21518;&#30340;mnist_train.ipynb
@@ -137,7 +137,7 @@
    ],
    "source": [
     "def main(argv=None): \n",
-    "    mnist = input_data.read_data_sets(\"../../Data_sets/MNIST_data\", one_hot=True)\n",
+    "    mnist = input_data.read_data_sets(\"../../Datasets/MNIST_data\", one_hot=True)\n",
     "    train(mnist)\n",
     "\n",
     "if __name__ == '__main__':\n",
diff --git a/Deep_Learning_with_TensorFlow/0.12.1/Chapter09/3. &#30417;&#25511;&#25351;&#26631;&#21487;&#35270;&#21270;.ipynb b/Deep_Learning_with_TensorFlow/0.12.1/Chapter09/3. &#30417;&#25511;&#25351;&#26631;&#21487;&#35270;&#21270;.ipynb
@@ -82,7 +82,7 @@
    "outputs": [],
    "source": [
     "def main():\n",
-    "    mnist = input_data.read_data_sets(\"../../Data_sets/MNIST_data\", one_hot=True)\n",
+    "    mnist = input_data.read_data_sets(\"../../Datasets/MNIST_data\", one_hot=True)\n",
     "\n",
     "    with tf.name_scope('input'):\n",
     "        x = tf.placeholder(tf.float32, [None, 784], name='x-input')\n",
diff --git a/Deep_Learning_with_TensorFlow/0.12.1/Chapter10/4. &#24322;&#27493;&#26356;&#26032;&#27169;&#24335;&#26679;&#20363;&#31243;&#24207;.py b/Deep_Learning_with_TensorFlow/0.12.1/Chapter10/4. &#24322;&#27493;&#26356;&#26032;&#27169;&#24335;&#26679;&#20363;&#31243;&#24207;.py
@@ -15,7 +15,7 @@
 
 # &#27169;&#22411;&#20445;&#23384;&#30340;&#36335;&#24452;&#21644;&#25991;&#20214;&#21517;&#12290;
 MODEL_SAVE_PATH = "logs/log_async"
-DATA_PATH = "../../Data_sets/MNIST_data"
+DATA_PATH = "../../Datasets/MNIST_data"
 
 FLAGS = tf.app.flags.FLAGS
 
diff --git a/Deep_Learning_with_TensorFlow/0.12.1/Chapter10/5. &#21516;&#27493;&#26356;&#26032;&#27169;&#24335;&#26679;&#20363;&#31243;&#24207;.py b/Deep_Learning_with_TensorFlow/0.12.1/Chapter10/5. &#21516;&#27493;&#26356;&#26032;&#27169;&#24335;&#26679;&#20363;&#31243;&#24207;.py
@@ -13,7 +13,7 @@
 TRAINING_STEPS = 10000
 MOVING_AVERAGE_DECAY = 0.99 
 MODEL_SAVE_PATH = "logs/log_sync"
-DATA_PATH = "../../Data_sets/MNIST_data"
+DATA_PATH = "../../Datasets/MNIST_data"
 
 
 # &#21644;&#24322;&#27493;&#27169;&#24335;&#31867;&#20284;&#30340;&#35774;&#32622;flags&#12290;

Original file line number	Diff line number	Diff line change
`@@ -244,7 +244,7 @@`
`244`	`244`	`}`
`245`	`245`	`],`
`246`	`246`	`"source": [`
`247`		`- "loss = tf.losses.mean_squared_error(y, y_)\n",`
	`247`	`+ "loss = tf.contrib.losses.mean_squared_error(y, y_)\n",`
`248`	`248`	`"train_step = tf.train.AdamOptimizer(0.001).minimize(loss)\n",`
`249`	`249`	`"\n",`
`250`	`250`	`"with tf.Session() as sess:\n",`