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大版本更新。

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xinyang
2019-07-06 20:20:48 +08:00
parent 9f9050e04a
commit e9a0e9ad7b
23 changed files with 15297 additions and 20022 deletions
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16
tools/TrainCNN/forward.py
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@@ -29,24 +29,25 @@ def max_pool_2x2(x):
CONV1_KERNAL_SIZE = 5
# 第一层卷积输出通道数
CONV1_OUTPUT_CHANNELS = 8
CONV1_OUTPUT_CHANNELS = 6
# 第二层卷积核大小
CONV2_KERNAL_SIZE = 3
# 第二层卷积输出通道数
CONV2_OUTPUT_CHANNELS = 16
CONV2_OUTPUT_CHANNELS = 10
# 第一层全连接宽度
FC1_OUTPUT_NODES = 16
# 第二层全连接宽度（输出标签类型数）
FC2_OUTPUT_NODES = 15
# 输出标签类型数
OUTPUT_NODES = FC2_OUTPUT_NODES
def forward(x, regularizer=None):
def forward(x, regularizer=None, keep_rate=tf.constant(1.0)):
vars = []
nodes = []
@@ -71,16 +72,19 @@ def forward(x, regularizer=None):
pool_shape = pool2.get_shape().as_list()
node = pool_shape[1] * pool_shape[2] * pool_shape[3]
reshaped = tf.reshape(pool2, [-1, node])
reshaped = tf.nn.dropout(reshaped, keep_rate)
fc1_w = tf.nn.dropout(get_weight([node, FC1_OUTPUT_NODES], regularizer), 0.1)
fc1_w = get_weight([node, FC1_OUTPUT_NODES], regularizer)
fc1_b = get_bias([FC1_OUTPUT_NODES])
fc1 = tf.nn.relu(tf.matmul(reshaped, fc1_w) + fc1_b)
fc1 = tf.nn.dropout(fc1, keep_rate)
vars.extend([fc1_w, fc1_b])
nodes.extend([fc1])
fc2_w = tf.nn.dropout(get_weight([FC1_OUTPUT_NODES, FC2_OUTPUT_NODES], regularizer), 0.1)
fc2_w = get_weight([FC1_OUTPUT_NODES, FC2_OUTPUT_NODES], regularizer)
fc2_b = get_bias([FC2_OUTPUT_NODES])
fc2 = tf.nn.softmax(tf.matmul(fc1, fc2_w) + fc2_b)
# fc2 = tf.nn.softmax(tf.matmul(fc1, fc2_w) + fc2_b)
fc2 = tf.matmul(fc1, fc2_w) + fc2_b
vars.extend([fc2_w, fc2_b])
nodes.extend([fc2])