Architecture Reimplementation · Jupyter Notebook
ResNet_Family-from-scratch
Part 3 of Visual Scrambling — four ResNet-style architectures reconstructed in PyTorch, with residual blocks, custom BatchNorm, theory notebooks, and CIFAR-100 experiments.
What it is
This repository provides a from-scratch reimplementation of the ResNet family (ResNet-12, ResNet-18, ResNet-34, ResNet-50) in PyTorch, with manual implementations of BatchNorm and activation functions for educational purposes, including training and evaluation on CIFAR100.
- ai
- cifar100
- cifar100-image-classification
- cnn
- computer-vision
- deep-learning
- from-scratch
- from-scratch-neural-network
- machine-learning
- ml
Where it counts
- Machine Learning90%
- Computer Vision80%
- Data Science30%
- MLOps20%
How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.
Around it on the Machine Learning board
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