This repository serves as a hands-on tutorial covering the full lifecycle of a deep learning project for CIFAR-10 classification using PyTorch.
Each topic is split into:
- a markdown guide explaining concepts and design decisions
- multiple Jupyter notebooks demonstrating them in practice
tutorial.md links to each module in the intended order and explains how the pieces fit together.
This tutorial is made for:
- students learning practical deep learning
- engineers transitioning from experimentation to production
- anyone looking to explore PyTorch’s full potential