deep-learning-with-pytorch/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
This project provides the official code examples for the book "Deep Learning with PyTorch." It helps aspiring deep learning practitioners understand fundamental concepts by showing how to implement them using the PyTorch framework. The code acts as a practical companion, taking you from foundational theory to working deep learning models, enabling computer scientists, data scientists, and software engineers to build their own AI applications.
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Use this if you are learning deep learning with PyTorch and want to follow along with practical, verified code examples from a companion book.
Not ideal if you are looking for a comprehensive reference of the entire PyTorch API, especially for advanced features like recurrent neural networks.
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