ResNet | Paper Explained & PyTorch Implementation

In this video I go through famous "Deep Residual Learning for Image Recognition" paper and implement it in PyTorch.

* Values above blocks are not number of parameters

Paper:
https://arxiv.org/pdf/1512.03385.pdf
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GitHub Repo:
https://github.com/maciejbalawejder/D...

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Connect with me on:
Linkedin -   / maciej-balawejder-rt8015  
GitHub - https://github.com/maciejbalawejder
Medium -   / maciejbalawejder  

Timestamps:
0:00 Paper Overview
1:03 Degradation Problem / Identity Mapping
3:02 Residual Block
4:10 Architecture
5:47 Implementation Details
6:46 Bottleneck Representation
8:18 PyTorch implementation
9:48 Bottleneck Residual Block
16:10 ResNet Architecture
21:03 Testing & Fixing