This assumes prior experience with PyTorch or related frameworks. The content is presented in a dense manner so that it can serve as a quick reference. Readers are encouraged to run the code themselves to get a better understanding.

AI was heavily involved in some sections. However, AI still doesn't have a strong understanding of niche PyTorch behaviors, so I have had to make many corrections. I welcome any feedback about inaccuracies or suggestions for general improvements.

Tensor Creation


Tensor Fundamentals


Model Creation


Training and Evaluation


Data Handling


Model Management


Advanced Modeling


Memory and Performance


Debugging and Optimization