小编Mił*_*zak的帖子

当我训练几个具有不同初始化的相同架构的模型时,如何在Keras模型中平均权重？

现在我的代码看起来像这样？

datagen = ImageDataGenerator(rotation_range=15,
                             width_shift_range=2.0/28,
                             height_shift_range=2.0/28
                            )

epochs = 40 
lr = (1.234e-3)
optimizer = Adam(lr=lr)

main_input = Input(shape= (28,28,1), name='main_input')

sub_models = []

for i in range(5):

    x = Conv2D(32, kernel_size=(3,3), strides=1)(main_input)
    x = BatchNormalization()(x)
    x = Activation('relu')(x)
    x = MaxPool2D(pool_size=2)(x)

    x = Conv2D(64, kernel_size=(3,3), strides=1)(x)
    x = BatchNormalization()(x)
    x = Activation('relu')(x)
    x = MaxPool2D(pool_size=2)(x)

    x = Conv2D(64, kernel_size=(3,3), strides=1)(x)
    x = BatchNormalization()(x)
    x = Activation('relu')(x)

    x = Flatten()(x)

    x = Dense(1024)(x)
    x = BatchNormalization()(x)
    x = Activation('relu')(x) …