在进行残差块传递时，应该采用跨层连接方式，即每两层之间建立一个直接的连接，而不是简单地逐层传递。以下是使用Keras进行跨层连接的示例代码：

from keras.layers import Input, Conv2D, Add, BatchNormalization, Activation from keras.models import Model

def res_block(input_layer, filters): x = Conv2D(filters, kernel_size=(3, 3), padding='same')(input_layer) x = BatchNormalization()(x) x = Activation('relu')(x)

x = Conv2D(filters, kernel_size=(3, 3), padding='same')(x)
x = BatchNormalization()(x)
x = Activation('relu')(x)

# 跨层连接
x = Add()([input_layer, x])
x = Activation('relu')(x)

return x

input_layer = Input(shape=(64, 64, 3)) x = Conv2D(32, kernel_size=(3, 3), padding='same')(input_layer) x = BatchNormalization()(x) x = Activation('relu')(x)

建立跨层连接

x = res_block(x, 32) x = res_block(x, 32)

x = Conv2D(16, kernel_size=(3, 3), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x)

output_layer = Conv2D(1, kernel_size=(3, 3), padding='same', activation='sigmoid')(x)

model = Model(inputs=input_layer, outputs=output_layer)