Module resnet 

ResNet Implementation

Implementation of ResNet architectures as described in the paper:

Reference

Deep Residual Learning for Image Recognition He et al. (2015)

This paper introduced ResNet, a deep neural network architecture that utilizes skip connections (“residual connections”) to enable training of very deep networks.

Functions

resnet18

Creates a ResNet-18 model.

resnet34

Creates a ResNet-34 model.

resnet50

resnet18_no_final_layer

resnet34_no_final_layer

resnet50_no_final_layer

resnet101

resnet152

resnet101_no_final_layer

resnet152_no_final_layer