Sequential容器中常用层的添加

model = Sequential()
model.add(layers.Conv2D(filters = 64, kernel_size = (3,3),padding = 'Same',
                 activation ='relu'))
model.add(layers.MaxPool2D(pool_size=(2,2), strides=(2,2)))
model.add(layers.Flatten())
model.add(layers.Dense(256, activation = "relu"，kernel_regularizer=tf.keras.regularizers.l2(0.003))）
model.add(layers.BatchNormalization())
model.add(layers.Dropout(0.4))

来源：CSDN

作者：weixin_43729570

链接：https://blog.csdn.net/weixin_43729570/article/details/103652068