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A complete guide to deep learning with PyTorch, covering core concepts, transfer learning, and deployment.

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PyTorch Learning Series

This repository contains a series of tutorials and resources designed to master PyTorch, from the basics to more advanced topics. These materials cover fundamental concepts, workflows, and practical applications, as well as additional resources to enhance understanding of PyTorch.

Acknowledgments

This learning series is inspired by and based on the work of Daniel Bourke (mrdbourke), who has created comprehensive tutorials and resources for the PyTorch community. His dedication to teaching and simplifying deep learning concepts is greatly appreciated.

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A complete guide to deep learning with PyTorch, covering core concepts, transfer learning, and deployment.

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