ResNetV1

class ResNetV1(block, layers, channels, classes=1000, thumbnail=False, **kwargs)

ResNet V1 model from “Deep Residual Learning for Image Recognition” paper.

Parameters:

block : gluon.HybridBlock

Class for the residual block. Options are BasicBlockV1, BottleneckV1.

layers : list of int

Numbers of layers in each block

channels : list of int

Numbers of channels in each block. Length should be one larger than layers list.

classes : int, default 1000

Number of classification classes.

thumbnail : bool, default False

Enable thumbnail.