I went ahead and created my first blog on ResNet. I really wanted to understand how ResNet worked, and it didn’t feel like any of the existing blog really hit the kernel of the matter! I hope you all check it out. It’s supposed to be a very easy read.
Any ideas for improvement is welcome. I wish, for that matter, that I could understand the mathematics in better detail too, but don’t feel like I can. In particular, I wanted to understand how the skip connections actually help the gradients, and/or ultimately the classification problem. The detailed math seems to be discussed here. https://arxiv.org/abs/1603.05027
Thanks and enjoy