Kaixhin/grokking-pytorch
The Hitchiker's Guide to PyTorch
This project provides practical notes and an example for understanding PyTorch, a flexible deep learning framework. It demonstrates how to set up, train, and evaluate a neural network using image data, going from raw data to a trained model that can classify images. It's intended for machine learning practitioners and researchers who are learning or using PyTorch for their deep learning projects.
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Use this if you are a machine learning practitioner looking for a clear, hands-on example to deepen your understanding of how to implement and train neural networks using PyTorch.
Not ideal if you are looking for an introduction to deep learning concepts or if you need a comprehensive guide to every feature of the PyTorch library.
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