需要描述这些指令以及此代码创建的图形

时间:2019-05-22 22:04:32

标签: python keras conv-neural-network keras-layer

Donnez的说明以及图形代码的说明:


from keras.models import Sequential
from keras.layers import Convolution2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers import Dense
model = Sequential()
model.add(Convolution2D(filters =32, kernel_size =(3,3),input_shape =(64,64,3),activation ='relu'))
model.add(MaxPooling2D(pool_size = (2,2)))
model.add(Convolution2D(filters = 32 ,kernel_size = (3,3) ,activation = 'relu'))
model.add(MaxPooling2D(pool_size =(2,2)))
model.add(Flatten())
model.add(Dense(units =128, activation = 'relu'))
model.add(Dense(units = 1 activation ='sigmoid'))
model.compile(optimizer ='adam', loss = 'binary_crossentropy',metrics=['accuracy'])

0 个答案:

没有答案