Implemented ReSNET-34 model from scratch based on paper Deep Residual Learning for Image Recognition (He et al., 2015). It's part of my deep learning process.
Guided by official code from pytorch vision: https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py
also thanks to https://madebyollin.github.io/convnet-calculator/ for calculator to calculate the convulational layers parameters.