通过向Sequential模型传递一个layer的list来构造该模型
model = Sequential([Dense(32,input_shape=(784,)),Activation('relu'),Dense(10),Activation('softmax'),])
model.compile(optimizer='rmsprop',
loss='categorical_crossentropy',
metrics=['accuracy'])
print('list',model.summary())
通过add()方法一个一个的将layer加入模型中
model = Sequential()
model.add(Dense(32,input_shape=(784,)))
model.add(Activation('relu'))
model.add(Dense(10))
model.add(Activation('softmax'))
model.compile(optimizer='rmsprop',
loss='categorical_crossentropy',
metrics=['accuracy'])
print('add',model.summary())
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