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Deep learning in Rust with Burn 🔥 (Practical AI #242)

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Working with GPU libraries and choosing back ends

This chapter discusses the challenges of working with GPU libraries like CUDA and the process of selecting the appropriate back end for a project. They highlight the advantages of using Rust in deep learning frameworks, particularly in terms of low-level control and memory optimization. The chapter also touches on the current state of the Burn framework and the different user profiles and use cases it serves.

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