BottleneckV1

class BottleneckV1(channels, stride, downsample=False, in_channels=0, **kwargs)

Bottleneck V1 from “Deep Residual Learning for Image Recognition” paper. This is used for ResNet V1 for 50, 101, 152 layers.

Parameters:

channels : int

Number of output channels.

stride : int

Stride size.

downsample : bool, default False

Whether to downsample the input.

in_channels : int, default 0

Number of input channels. Default is 0, to infer from the graph.