continue to adjust the dir structure and make sure tf API works for v… · wuayee/tensorflow-tutorial@ffdd167 · GitHub
Skip to content

Commit ffdd167

Browse files
author
perhapszzy@sina.com
committed
continue to adjust the dir structure and make sure tf API works for version 0.12.0
1 parent c316ed5 commit ffdd167

12 files changed

Lines changed: 48 additions & 48 deletions

‎Deep_Learning_with_TensorFlow/0.12.0/Chapter04/1. 自定义损失函数.ipynb‎

Lines changed: 1 addition & 1 deletion

‎Deep_Learning_with_TensorFlow/0.12.0/Chapter05/2. TensorFlow训练神经网络/1. 全模型.ipynb‎

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -168,10 +168,10 @@
168168
"name": "stdout",
169169
"output_type": "stream",
170170
"text": [
171-
"Extracting ../../../Data_sets/MNIST_data/train-images-idx3-ubyte.gz\n",
172-
"Extracting ../../../Data_sets/MNIST_data/train-labels-idx1-ubyte.gz\n",
173-
"Extracting ../../../Data_sets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
174-
"Extracting ../../../Data_sets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
171+
"Extracting ../../../datasets/MNIST_data/train-images-idx3-ubyte.gz\n",
172+
"Extracting ../../../datasets/MNIST_data/train-labels-idx1-ubyte.gz\n",
173+
"Extracting ../../../datasets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
174+
"Extracting ../../../datasets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
175175
"After 0 training step(s), validation accuracy using average model is 0.078 \n",
176176
"After 1000 training step(s), validation accuracy using average model is 0.9776 \n",
177177
"After 2000 training step(s), validation accuracy using average model is 0.9838 \n",
@@ -183,7 +183,7 @@
183183
],
184184
"source": [
185185
"def main(argv=None):\n",
186-
" mnist = input_data.read_data_sets(\"../../../Data_sets/MNIST_data\", one_hot=True)\n",
186+
" mnist = input_data.read_data_sets(\"../../../datasets/MNIST_data\", one_hot=True)\n",
187187
" train(mnist)\n",
188188
"\n",
189189
"if __name__=='__main__':\n",

‎Deep_Learning_with_TensorFlow/0.12.0/Chapter05/2. TensorFlow训练神经网络/2. 不使用正则化.ipynb‎

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -166,10 +166,10 @@
166166
"name": "stdout",
167167
"output_type": "stream",
168168
"text": [
169-
"Extracting ../../../Data_sets/MNIST_data/train-images-idx3-ubyte.gz\n",
170-
"Extracting ../../../Data_sets/MNIST_data/train-labels-idx1-ubyte.gz\n",
171-
"Extracting ../../../Data_sets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
172-
"Extracting ../../../Data_sets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
169+
"Extracting ../../../datasets/MNIST_data/train-images-idx3-ubyte.gz\n",
170+
"Extracting ../../../datasets/MNIST_data/train-labels-idx1-ubyte.gz\n",
171+
"Extracting ../../../datasets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
172+
"Extracting ../../../datasets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
173173
"After 0 training step(s), validation accuracy using average model is 0.1488 \n",
174174
"After 1000 training step(s), validation accuracy using average model is 0.9776 \n",
175175
"After 2000 training step(s), validation accuracy using average model is 0.9826 \n",
@@ -181,7 +181,7 @@
181181
],
182182
"source": [
183183
"def main(argv=None):\n",
184-
" mnist = input_data.read_data_sets(\"../../../Data_sets/MNIST_data\", one_hot=True)\n",
184+
" mnist = input_data.read_data_sets(\"../../../datasets/MNIST_data\", one_hot=True)\n",
185185
" train(mnist)\n",
186186
"\n",
187187
"if __name__=='__main__':\n",

‎Deep_Learning_with_TensorFlow/0.12.0/Chapter05/2. TensorFlow训练神经网络/3. 不使用指数衰减的学习率.ipynb‎

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -159,10 +159,10 @@
159159
"name": "stdout",
160160
"output_type": "stream",
161161
"text": [
162-
"Extracting ../../Data_sets/MNIST_data/train-images-idx3-ubyte.gz\n",
163-
"Extracting ../../Data_sets/MNIST_data/train-labels-idx1-ubyte.gz\n",
164-
"Extracting ../../Data_sets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
165-
"Extracting ../../Data_sets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
162+
"Extracting ../../datasets/MNIST_data/train-images-idx3-ubyte.gz\n",
163+
"Extracting ../../datasets/MNIST_data/train-labels-idx1-ubyte.gz\n",
164+
"Extracting ../../datasets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
165+
"Extracting ../../datasets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
166166
"After 0 training step(s), validation accuracy using average model is 0.0712 \n",
167167
"After 1000 training step(s), validation accuracy using average model is 0.9478 \n",
168168
"After 2000 training step(s), validation accuracy using average model is 0.9626 \n",
@@ -174,7 +174,7 @@
174174
],
175175
"source": [
176176
"def main(argv=None):\n",
177-
" mnist = input_data.read_data_sets(\"../../../Data_sets/MNIST_data\", one_hot=True)\n",
177+
" mnist = input_data.read_data_sets(\"../../../datasets/MNIST_data\", one_hot=True)\n",
178178
" train(mnist)\n",
179179
"\n",
180180
"if __name__=='__main__':\n",

‎Deep_Learning_with_TensorFlow/0.12.0/Chapter05/2. TensorFlow训练神经网络/4. 不使用激活函数.ipynb‎

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -168,10 +168,10 @@
168168
"name": "stdout",
169169
"output_type": "stream",
170170
"text": [
171-
"Extracting ../../Data_sets/MNIST_data/train-images-idx3-ubyte.gz\n",
172-
"Extracting ../../Data_sets/MNIST_data/train-labels-idx1-ubyte.gz\n",
173-
"Extracting ../../Data_sets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
174-
"Extracting ../../Data_sets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
171+
"Extracting ../../datasets/MNIST_data/train-images-idx3-ubyte.gz\n",
172+
"Extracting ../../datasets/MNIST_data/train-labels-idx1-ubyte.gz\n",
173+
"Extracting ../../datasets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
174+
"Extracting ../../datasets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
175175
"After 0 training step(s), validation accuracy using average model is 0.055 \n",
176176
"After 1000 training step(s), validation accuracy using average model is 0.0958 \n",
177177
"After 2000 training step(s), validation accuracy using average model is 0.0958 \n",
@@ -183,7 +183,7 @@
183183
],
184184
"source": [
185185
"def main(argv=None):\n",
186-
" mnist = input_data.read_data_sets(\"../../../Data_sets/MNIST_data\", one_hot=True)\n",
186+
" mnist = input_data.read_data_sets(\"../../../datasets/MNIST_data\", one_hot=True)\n",
187187
" train(mnist)\n",
188188
"\n",
189189
"if __name__=='__main__':\n",

‎Deep_Learning_with_TensorFlow/0.12.0/Chapter05/2. TensorFlow训练神经网络/5. 不使用隐藏层.ipynb‎

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -165,10 +165,10 @@
165165
"name": "stdout",
166166
"output_type": "stream",
167167
"text": [
168-
"Extracting ../../Data_sets/MNIST_data/train-images-idx3-ubyte.gz\n",
169-
"Extracting ../../Data_sets/MNIST_data/train-labels-idx1-ubyte.gz\n",
170-
"Extracting ../../Data_sets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
171-
"Extracting ../../Data_sets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
168+
"Extracting ../../datasets/MNIST_data/train-images-idx3-ubyte.gz\n",
169+
"Extracting ../../datasets/MNIST_data/train-labels-idx1-ubyte.gz\n",
170+
"Extracting ../../datasets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
171+
"Extracting ../../datasets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
172172
"After 0 training step(s), validation accuracy using average model is 0.131 \n",
173173
"After 1000 training step(s), validation accuracy using average model is 0.4932 \n",
174174
"After 2000 training step(s), validation accuracy using average model is 0.4954 \n",
@@ -180,7 +180,7 @@
180180
],
181181
"source": [
182182
"def main(argv=None):\n",
183-
" mnist = input_data.read_data_sets(\"../../../Data_sets/MNIST_data\", one_hot=True)\n",
183+
" mnist = input_data.read_data_sets(\"../../../datasets/MNIST_data\", one_hot=True)\n",
184184
" train(mnist)\n",
185185
"\n",
186186
"if __name__=='__main__':\n",

‎Deep_Learning_with_TensorFlow/0.12.0/Chapter05/2. TensorFlow训练神经网络/6. 不使用滑动平均.ipynb‎

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -163,10 +163,10 @@
163163
"name": "stdout",
164164
"output_type": "stream",
165165
"text": [
166-
"Extracting ../../Data_sets/MNIST_data/train-images-idx3-ubyte.gz\n",
167-
"Extracting ../../Data_sets/MNIST_data/train-labels-idx1-ubyte.gz\n",
168-
"Extracting ../../Data_sets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
169-
"Extracting ../../Data_sets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
166+
"Extracting ../../datasets/MNIST_data/train-images-idx3-ubyte.gz\n",
167+
"Extracting ../../datasets/MNIST_data/train-labels-idx1-ubyte.gz\n",
168+
"Extracting ../../datasets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
169+
"Extracting ../../datasets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
170170
"After 0 training step(s), validation accuracy using average model is 0.1238 \n",
171171
"After 1000 training step(s), validation accuracy using average model is 0.9748 \n",
172172
"After 2000 training step(s), validation accuracy using average model is 0.9784 \n",
@@ -178,7 +178,7 @@
178178
],
179179
"source": [
180180
"def main(argv=None):\n",
181-
" mnist = input_data.read_data_sets(\"../../../Data_sets/MNIST_data\", one_hot=True)\n",
181+
" mnist = input_data.read_data_sets(\"../../../datasets/MNIST_data\", one_hot=True)\n",
182182
" train(mnist)\n",
183183
"\n",
184184
"if __name__=='__main__':\n",

‎Deep_Learning_with_TensorFlow/0.12.0/Chapter05/5. MNIST最佳实践/mnist_eval.ipynb‎

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -79,10 +79,10 @@
7979
"name": "stdout",
8080
"output_type": "stream",
8181
"text": [
82-
"Extracting ../../Data_sets/MNIST_data/train-images-idx3-ubyte.gz\n",
83-
"Extracting ../../Data_sets/MNIST_data/train-labels-idx1-ubyte.gz\n",
84-
"Extracting ../../Data_sets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
85-
"Extracting ../../Data_sets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
82+
"Extracting ../../datasets/MNIST_data/train-images-idx3-ubyte.gz\n",
83+
"Extracting ../../datasets/MNIST_data/train-labels-idx1-ubyte.gz\n",
84+
"Extracting ../../datasets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
85+
"Extracting ../../datasets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
8686
"After 29001 training step(s), validation accuracy = 0.986\n",
8787
"After 29001 training step(s), validation accuracy = 0.986\n",
8888
"After 29001 training step(s), validation accuracy = 0.986\n"
@@ -91,7 +91,7 @@
9191
],
9292
"source": [
9393
"def main(argv=None):\n",
94-
" mnist = input_data.read_data_sets(\"../../../Data_sets/MNIST_data\", one_hot=True)\n",
94+
" mnist = input_data.read_data_sets(\"../../../datasets/MNIST_data\", one_hot=True)\n",
9595
" evaluate(mnist)\n",
9696
"\n",
9797
"if __name__ == '__main__':\n",

‎Deep_Learning_with_TensorFlow/0.12.0/Chapter05/5. MNIST最佳实践/mnist_train.ipynb‎

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -109,10 +109,10 @@
109109
"name": "stdout",
110110
"output_type": "stream",
111111
"text": [
112-
"Extracting ../../Data_sets/MNIST_data/train-images-idx3-ubyte.gz\n",
113-
"Extracting ../../Data_sets/MNIST_data/train-labels-idx1-ubyte.gz\n",
114-
"Extracting ../../Data_sets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
115-
"Extracting ../../Data_sets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
112+
"Extracting ../../datasets/MNIST_data/train-images-idx3-ubyte.gz\n",
113+
"Extracting ../../datasets/MNIST_data/train-labels-idx1-ubyte.gz\n",
114+
"Extracting ../../datasets/MNIST_data/t10k-images-idx3-ubyte.gz\n",
115+
"Extracting ../../datasets/MNIST_data/t10k-labels-idx1-ubyte.gz\n",
116116
"After 1 training step(s), loss on training batch is 3.14604.\n",
117117
"After 1001 training step(s), loss on training batch is 0.272286.\n",
118118
"After 2001 training step(s), loss on training batch is 0.174218.\n",
@@ -148,7 +148,7 @@
148148
],
149149
"source": [
150150
"def main(argv=None):\n",
151-
" mnist = input_data.read_data_sets(\"../../../Data_sets/MNIST_data\", one_hot=True)\n",
151+
" mnist = input_data.read_data_sets(\"../../../datasets/MNIST_data\", one_hot=True)\n",
152152
" train(mnist)\n",
153153
"\n",
154154
"if __name__ == '__main__':\n",

‎Deep_Learning_with_TensorFlow/0.12.0/Chapter06/LeNet-5/LeNet5_train.ipynb‎

Lines changed: 5 additions & 5 deletions

0 commit comments

Comments
 (0)