Real-Time Neural Network Implementation for GPUs
- Auto-discovered
Jakub Bokšanský
Visit resource ↗Description
Real-Time Neural Network Implementation for GPUs is an open-source library / codebase hosted on GitHub.
Open-source companion code for the GPU Zen 4 chapter on real-time neural network implementation on GPUs, demonstrating MLP learning and image inference on the GPU. Provides CMake/Visual Studio build scripts, shader-based samples, and citation metadata for the book chapter. Useful for graphics programmers studying practical real-time MLP inference. Contribute to boksajak/MLPZen development by creating an account on GitHub.
It is aimed at advanced graphics programmers and matches the audience implied by Jakub Bokšanský's other work.
Source, release notes, and README material live in the GitHub repository linked from the submission.
It is useful when you want practical detail beyond a title or store listing and prefer primary-source explanation from the author or maintainer.
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