#?coding:?utf-8

import?os
import?tensorflow?as?tf
import?numpy?as?np

#?new?params

num_classes?=?2
VGG_MEAN?=?[103.062623801?115.902882574?123.151630838]


def?load_graph（）:
????with?tf.device（‘/cpu:0‘）:
????????g?=?tf.Graph（）
????????with?g.as_default（）:
????????????x?=?tf.placeholder（tf.float32?shape=[1?112?112?3]?name=‘x‘）
????????????prob?=?Net（x）
????????return?g?x?prob


def?_get_variable（name?shape?initializer?dtype=‘float‘?trainable=True）:
????return?tf.get_variable（name?shape=shape?initializer=initializer?trainable=trainable?dtype=dtype）


#?定義卷積?conv
def?conv_layer（input
???????????????num_input_features
???????????????num_out_features
???????????????filter_size
???????????????stride
???????????????padding=‘SAME‘
???????????????name=None
???????????????dtype=‘float‘
???????????????trainable=True）:
????with?tf.variable_scope（name）:
????????#?weights?shape
????????shape_weights?=?[filter_size?filter_size?num_input_features?num_out_features]
????????shape_biases?=?[num_out_features]

????????initilizer_weights?=?tf.truncated_normal_initializer（stddev=0.02）
????????initilizer_biases?=?tf.truncated_normal_initializer（stddev=0.02）

????????weights?=?_get_variable（‘weights‘
????????????????????????????????shape=shape_weights
????????????????????????????????initializer=initilizer_weights
????????????????????????????????trainable=True）
????????biases?=?_get_variable（‘biases‘
???????????????????????????????shape=shape_biases
???????????????????????????????initializer=initilizer_biases
???????????????????????????????trainable=True）

????????conv?=?tf.nn.conv2d（input?weights?strides=[1?stride?stride?1]?padding=padding）
????????return?tf.nn.bias_add（conv?biases）


#?定義非線性激勵函數，relu
def?action（input）:
????return?tf.nn.relu（input）


#?定義max?pooling
def?max_pool（input?ksize?stride?pading?name）:
????return?tf.nn.max_pool（input
??????????????????????????ksize=[1?ksize?ksize?1]
??????????????????????????strides=[1?stride?stride?1]
??????????????????????????padding=pading
??????????????????????????name=name）


#?展平
def?flatten_layer（layer）:
????layer_shape?=?layer.get_shape（）

????#?get?input?features
????num_input_features?=?layer_shape[1:4].num_elements（）

????layer_flat?=?tf.reshape（layer?[-1?num_input_features]）

????return?layer_flat?num_input_features


#?定義全連接?FC層
def?fc_layer（input?num_output_features?name）:
????with?tf.variable_scope（name）:
????????layer_flat?num_input_features?=?flatten_layer（input）
????????shape_fc_weights?=?[num_input_features?num_output_features]
????????shape_fc_biases?=?[num_output_features]

????????initilizer_fc_weights?=?tf.truncated_normal_initializer（stddev=0.02）
????????initilizer_fc_biases?=?tf.truncated_normal_initializer（stddev=0.02）

????????fc_weights?=?_get_variable（‘weights‘?shape=shape_fc_weights?initializer=initilizer_fc_weights?trainable=True）
????????f

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件???????????0??2020-09-25?07:11??vgg16瀹炵幇浜鴻劯媯€嫻?
?????文件????????9201??2019-05-13?09:52??vgg16瀹炵幇浜鴻劯媯€嫻?Vgg16.py
?????文件?????????276??2019-05-13?09:52??__MACOSX\vgg16瀹炵幇浜鴻劯媯€嫻?._Vgg16.py