Models for Computer Vision

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

torchvision has implementation of popular deep learning models for computer vision.

ResNet-50¶

ResNet-50 is a 50-layer Residual Neural Network.

ResNet 101¶

ResNet-101 is a 101-layer Residual Neural Network.

ResNet 152¶

ResNet-152 is a 152-layer Residual Neural Network.

Residual Networks: Implementing ResNet in Pytorch

InceptionNets¶

EfficientNets¶

References¶

https://www.quora.com/What-is-the-deep-neural-network-known-as-“ResNet-50”

http://ethereon.github.io/netscope/#/gist/db945b393d40bfa26006

https://arxiv.org/pdf/1512.03385.pdf

https://medium.com/14prakash/understanding-and-implementing-architectures-of-resnet-and-resnext-for-state-of-the-art-image-cf51669e1624