resnet.py 文件源码

def _conv_bn_relu(**conv_params):
    """Helper to build a conv -> BN -> relu residual unit activation function.
       This is the original ResNet v1 scheme in https://arxiv.org/abs/1512.03385
    """
    filters = conv_params["filters"]
    kernel_size = conv_params["kernel_size"]
    strides = conv_params.setdefault("strides", (1, 1))
    dilation_rate = conv_params.setdefault("dilation_rate", (1, 1))
    conv_name = conv_params.setdefault("conv_name", None)
    bn_name = conv_params.setdefault("bn_name", None)
    relu_name = conv_params.setdefault("relu_name", None)
    kernel_initializer = conv_params.setdefault("kernel_initializer", "he_normal")
    padding = conv_params.setdefault("padding", "same")
    kernel_regularizer = conv_params.setdefault("kernel_regularizer", l2(1.e-4))

    def f(x):
        x = Conv2D(filters=filters, kernel_size=kernel_size,
                   strides=strides, padding=padding,
                   dilation_rate=dilation_rate,
                   kernel_initializer=kernel_initializer,
                   kernel_regularizer=kernel_regularizer,
                   name=conv_name)(x)
        return _bn_relu(x, bn_name=bn_name, relu_name=relu_name)

    return f