Learn Neural Networks & Deep Learning WebGPU API & Compute Shaders
Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders provides a fresh and engaging entry point into one of the most dynamic a…
Master practical coding skills.
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Learn Neural Networks and Deep Learning with WebGPU and Compute Shaders provides a fresh and engaging entry point into one of the most dynamic a…
Master practical coding skills.
Data Mining and Machine Learning Essentials provides a fresh and engaging entry point into one of the most dynamic areas of modern tech.
Master practical coding skills.
Generative AI in 20 Minutes: (Coffee Break Series) provides a fresh and engaging entry point into one of the most dynamic areas of modern tech.
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WebGPU Data Visualization Cookbook (2nd Edition) provides a fresh and engaging entry point into one of the most dynamic areas of modern tech.
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WebGPU API - Owners' Workshop Manual (Beginners Onwards) provides a fresh and engaging entry point into one of the most dynamic areas of modern…
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Deep Learning with Javascript: Example-Based Approach provides a fresh and engaging entry point into one of the most dynamic areas of modern tec…
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Introduction to WebNN API in 20 Minutes - Coffee Book Series (Paperback) provides a fresh and engaging entry point into one of the most dynamic…
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PyTorch in 20 Minutes - Coffee Break Series (Paperback) provides a fresh and engaging entry point into one of the most dynamic areas of modern t…
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Foundations of Graphics & Compute: Volume 4 Simulations (Hardback) provides a fresh and engaging entry point into one of the most dynamic areas…
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Dual-Quaternions and Computer Graphics provides a fresh and engaging entry point into one of the most dynamic areas of modern tech.
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A compact set of practical game‑programming interview questions designed to sharpen your technical thinking before your next big opportunity.
Refresh key game programming concepts quickly and efficiently.
Discover how parallelism and GPU computing reshape traditional data structures and algorithms.
Learn how to adapt algorithms for parallel execution.
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