import?tensorflow?as?tf


def?alexnet（x?keep_prob?num_classes）:
????#?conv1
????with?tf.name_scope（‘conv1‘）?as?scope:
????????kernel?=?tf.Variable（tf.truncated_normal（[11?11?3?96]?dtype=tf.float32
?????????????????????????????????????????????????stddev=1e-1）?name=‘weights‘）
????????conv?=?tf.nn.conv2d（x?kernel?[1?4?4?1]?padding=‘SAME‘）
????????biases?=?tf.Variable（tf.constant（0.0?shape=[96]?dtype=tf.float32）
?????????????????????????????trainable=True?name=‘biases‘）
????????bias?=?tf.nn.bias_add（conv?biases）
????????conv1?=?tf.nn.relu（bias?name=scope）

????#?lrn1
????with?tf.name_scope（‘lrn1‘）?as?scope:
????????lrn1?=?tf.nn.local_response_normalization（conv1
??????????????????????????????????????????????????alpha=1e-4
??????????????????????????????????????????????????beta=0.75
??????????????????????????????????????????????????depth_radius=2
??????????????????????????????????????????????????bias=2.0）

????#?pool1
????with?tf.name_scope（‘pool1‘）?as?scope:
????????pool1?=?tf.nn.max_pool（lrn1
???????????????????????????????ksize=[1?3?3?1]
???????????????????????????????strides=[1?2?2?1]
???????????????????????????????padding=‘VALID‘）

????#?conv2
????with?tf.name_scope（‘conv2‘）?as?scope:
????????pool1_groups?=?tf.split（axis=3?value=pool1?num_or_size_splits=2）
????????kernel?=?tf.Variable（tf.truncated_normal（[5?5?48?256]?dtype=tf.float32
?????????????????????????????????????????????????stddev=1e-1）?name=‘weights‘）
????????kernel_groups?=?tf.split（axis=3?value=kernel?num_or_size_splits=2）
????????conv_up?=?tf.nn.conv2d（pool1_groups[0]?kernel_groups[0]?[1?1?1?1]?padding=‘SAME‘）
????????conv_down?=?tf.nn.conv2d（pool1_groups[1]?kernel_groups[1]?[1?1?1?1]?padding=‘SAME‘）
????????biases?=?tf.Variable（tf.constant（0.0?shape=[256]?dtype=tf.float32）
?????????????????????????????trainable=True?name=‘biases‘）
????????biases_groups?=?tf.split（axis=0?value=biases?num_or_size_splits=2）
????????bias_up?=?tf.nn.bias_add（conv_up?biases_groups[0]）
????????bias_down?=?tf.nn.bias_add（conv_down?biases_groups[1]）
????????bias?=?tf.concat（axis=3?values=[bias_up?bias_down]）
????????conv2?=?tf.nn.relu（bias?name=scope）

????#?lrn2
????with?tf.name_scope（‘lrn2‘）?as?scope:
????????lrn2?=?tf.nn.local_response_normalization（conv2
??????????????????????????????????????????????????alpha=1e-4
??????????????????????????????????????????????????beta=0.75
??????????????????????????????????????????????????depth_radius=2
??????????????????????????????????????????????????bias=2.0）

????#?pool2
????with?tf.name_scope（‘pool2‘）?as?scope:
????????pool2?=?tf.nn.max_pool（lrn2
???????????????????????????????ksize=[1?3?3?1]
???????????????????????????????strides=[1?2?2?1]
???????????????????????????????padding=‘VALID‘）

????????#?conv3
????with?tf.name_scope（‘conv3‘）?as?scope:
????????kernel?=?tf.Variable（tf.truncated_normal（[3?3?256?384]
?????????????????

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2019-04-14?20:42??cats?and?dogs\
?????目錄???????????0??2019-04-14?20:42??cats?and?dogs\.idea\
?????目錄???????????0??2019-04-12?20:13??cats?and?dogs\.idea\inspectionProfiles\
?????文件?????????243??2019-04-12?20:12??cats?and?dogs\.idea\misc.xml
?????文件?????????276??2019-04-12?20:12??cats?and?dogs\.idea\modules.xml
?????文件???????16613??2019-04-13?21:03??cats?and?dogs\.idea\workspace.xml
?????文件?????????459??2019-04-12?20:13??cats?and?dogs\.idea\貓狗大戰(zhàn).iml
?????目錄???????????0??2019-04-14?20:42??cats?and?dogs\__pycache__\
?????文件????????4107??2019-04-12?20:30??cats?and?dogs\__pycache__\alexnet.cpython-35.pyc
?????文件????????2213??2019-04-12?21:30??cats?and?dogs\__pycache__\datagenerator.cpython-35.pyc
?????文件????????7712??2019-04-12?20:15??cats?and?dogs\alexnet.py
?????文件????????2190??2019-04-12?21:16??cats?and?dogs\datagenerator.py
?????文件????????8543??2019-04-12?22:21??cats?and?dogs\main_alexnet.py
?????文件????????1151??2019-04-12?21:03??cats?and?dogs\rename_file.py