卷积神经网络丢包错误

Question

我遇到以下错误，我不知道如何解决： convnet =退出（convnet，0.8） TypeError：“浮动”对象不可调用

 convnet = input_data(shape=[None, img_size, img_size, 1], name='input')

 convnet = conv_2d(convnet, 32, 5, activation='relu')
 convnet = max_pool_2d(convnet, 5)

convnet = conv_2d(convnet, 64, 5, activation='relu')
convnet = max_pool_2d(convnet, 5)

convnet = fully_connected(convnet, 1024, activation='relu')
convnet = dropout(convnet, 0.8)

convnet = fully_connected(convnet, 2, activation='softmax')
convnet = regression(convnet, optimizer='adam', learning_rate=LR, 
loss='categorical_crossentropy', name='targets')

model = tflearn.DNN(convnet, tensorboard_dir='log')r code here

Answer 1

尝试

convnet = dropout( convnet , rate=0.8 )