import?tensorflow?as?tf

INPUT_NODE?=?784
OUTPUT_NODE?=?10

IMAGE_SIZE?=?28
NUM_CHANNELS?=?1
NUM_LABELS?=?10

CONV1_DEEP?=?32
CONV1_SIZE?=?5

CONV2_DEEP?=?64
CONV2_SIZE?=?5

FC_SIZE?=?512

def?inference（input_tensor?train?regularizer）:
????with?tf.variable_scope（‘layer1-conv1‘）:
????????conv1_weights?=?tf.get_variable（
????????????“weight“?[CONV1_SIZE?CONV1_SIZE?NUM_CHANNELS?CONV1_DEEP]
????????????initializer=tf.truncated_normal_initializer（stddev=0.1））
????????conv1_biases?=?tf.get_variable（“bias“?[CONV1_DEEP]?initializer=tf.constant_initializer（0.0））
????????conv1?=?tf.nn.conv2d（input_tensor?conv1_weights?strides=[1?1?1?1]?padding=‘SAME‘）
????????relu1?=?tf.nn.relu（tf.nn.bias_add（conv1?conv1_biases））

????with?tf.name_scope（“l(fā)ayer2-pool1“）:
????????pool1?=?tf.nn.max_pool（relu1?ksize?=?[1221]strides=[1221]padding=“SAME“）

????with?tf.variable_scope（“l(fā)ayer3-conv2“）:
????????conv2_weights?=?tf.get_variable（
????????????“weight“?[CONV2_SIZE?CONV2_SIZE?CONV1_DEEP?CONV2_DEEP]
????????????initializer=tf.truncated_normal_initializer（stddev=0.1））
????????conv2_biases?=?tf.get_variable（“bias“?[CONV2_DEEP]?initializer=tf.constant_initializer（0.0））
????????conv2?=?tf.nn.conv2d（pool1?conv2_weights?strides=[1?1?1?1]?padding=‘SAME‘）
????????relu2?=?tf.nn.relu（tf.nn.bias_add（conv2?conv2_biases））

????with?tf.name_scope（“l(fā)ayer4-pool2“）:
????????pool2?=?tf.nn.max_pool（relu2?ksize=[1?2?2?1]?strides=[1?2?2?1]?padding=‘SAME‘）
????????pool_shape?=?pool2.get_shape（）.as_list（）
????????nodes?=?pool_shape[1]?*?pool_shape[2]?*?pool_shape[3]
????????reshaped?=?tf.reshape（pool2?[pool_shape[0]?nodes]）

????with?tf.variable_scope（‘layer5-fc1‘）:
????????fc1_weights?=?tf.get_variable（“weight“?[nodes?FC_SIZE]
??????????????????????????????????????initializer=tf.truncated_normal_initializer（stddev=0.1））
????????if?regularizer?!=?None:?tf.add_to_collection（‘losses‘?regularizer（fc1_weights））
????????fc1_biases?=?tf.get_variable（“bias“?[FC_SIZE]?initializer=tf.constant_initializer（0.1））

????????fc1?=?tf.nn.relu（tf.matmul（reshaped?fc1_weights）?+?fc1_biases）
????????if?train:?fc1?=?tf.nn.dropout（fc1?0.5）

????with?tf.variable_scope（‘layer6-fc2‘）:
????????fc2_weights?=?tf.get_variable（“weight“?[FC_SIZE?NUM_LABELS]
??????????????????????????????????????initializer=tf.truncated_normal_initializer（stddev=0.1））
????????if?regularizer?!=?None:?tf.add_to_collection（‘losses‘?regularizer（fc2_weights））
????????fc2_biases?=?tf.get_variable（“bias“?[NUM_LABELS]?initializer=tf.constant_initializer（0.1））
????????logit?=?tf.matmul（fc1?fc2_weights）?+?fc2_biases

????return?logit

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件????????841??2017-04-20?10:35??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\解壓密碼.txt

????.......?????10244??2017-03-18?22:00??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\.DS_Store

????.......??????1784??2017-03-18?21:48??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\3_2_HelloWorld.py

????.......??????5792??2017-03-18?21:46??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\4_2_AutoEncoer.py

????.......??????1992??2017-03-18?21:49??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\4_4_MLP.py

????.......??????2957??2017-03-18?21:57??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\5_2_CNN_MNIST.py

????.......??????5745??2017-03-18?21:57??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\5_3_CNN_CIFAR10.py

?????文件???????7779??2017-10-19?16:09??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\6_1_AlexNet.py

????.......??????6608??2017-03-18?21:57??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\6_2_VGG.py

????.......?????18116??2017-03-18?21:57??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\6_3_InceptionNet.py

????.......?????17493??2017-03-18?21:58??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\6_4_ResNet.py

????.......??????8950??2017-03-18?21:51??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\7_1_Word2Vec.py

????.......??????9474??2017-03-18?21:50??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\7_2_LSTM.py

????.......??????4521??2017-03-18?21:47??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\7_3_BiRNN.py

????.......??????6861??2017-03-18?21:58??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\8_2_PolicyNetwork.py

????.......??????4481??2017-03-18?21:44??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\8_3_GridWorld.py

????.......??????8766??2017-03-18?21:44??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\8_3_Value_Network.py

????.......??????6503??2017-03-18?21:59??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\9_1_TensorBoard.py

????.......??????8930??2017-03-18?21:50??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\9_2_MultiGPU.py

????.......?????10556??2017-03-18?21:59??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\9_3_Distributed.py

?????文件????????131??2017-04-05?10:33??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼\TensorFlow實戰(zhàn)代碼\Tensorflow?and?Word2vec.txt

?????文件??????51309??2017-04-20?10:34??黃文堅?唐源?TensorFlow實戰(zhàn)代碼\黃文堅，唐源?TensorFlow實戰(zhàn)代碼.zip

?????文件????9912422??2017-03-04?19:44??TensorFlow實戰(zhàn)Google深度學習框架\Data_sets\MNIST_data\train-images-idx3-ubyte.gz

?????文件??????28881??2017-03-04?19:44??TensorFlow實戰(zhàn)Google深度學習框架\Data_sets\MNIST_data\train-labels-idx1-ubyte.gz

?????文件???????5343??2017-03-04?19:44??TensorFlow實戰(zhàn)Google深度學習框架\TensorFlow實戰(zhàn)Google深度學習框架\0.12.0\Chapter03\1.?圖，張量及會話.ipynb

?????文件???????3532??2017-03-04?19:44??TensorFlow實戰(zhàn)Google深度學習框架\TensorFlow實戰(zhàn)Google深度學習框架\0.12.0\Chapter03\2.?三層簡單神經(jīng)網(wǎng)絡(luò)的前向傳播算法.ipynb

?????文件???????4340??2017-03-04?19:44??TensorFlow實戰(zhàn)Google深度學習框架\TensorFlow實戰(zhàn)Google深度學習框架\0.12.0\Chapter03\3.?完整神經(jīng)網(wǎng)絡(luò)樣例程序.ipynb

?????文件???????7329??2017-03-04?19:44??TensorFlow實戰(zhàn)Google深度學習框架\TensorFlow實戰(zhàn)Google深度學習框架\0.12.0\Chapter04\1.?自定義損失函數(shù).ipynb

?????文件???????5671??2017-03-04?19:44??TensorFlow實戰(zhàn)Google深度學習框架\TensorFlow實戰(zhàn)Google深度學習框架\0.12.0\Chapter04\2.?學習率的設(shè)置.ipynb

?????文件?????136337??2017-03-04?19:44??TensorFlow實戰(zhàn)Google深度學習框架\TensorFlow實戰(zhàn)Google深度學習框架\0.12.0\Chapter04\3.?正則化.ipynb

............此處省略242個文件信息