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Are you a deep-learning enthusiast looking to take your models to the next level? This book is your gateway to GPU-accelerated deep learning. Designed for developers and researchers with a basic understanding of programming, it provides a clear and concise introduction to CUDA programming. Learn how to write efficient kernels, optimize memory access, and leverage the power of GPUs to train your models faster and more effectively. No prior CUDA experience is required!Key elements to considerSpecific Deep Learning Frameworks Covered: (e.g., "Includes coverage of TensorFlow and PyTorch integration.")Level of Prior Knowledge Assumed: (e.g., "Assumes basic programming knowledge.")Emphasis on Hands-on Learning: (e.g., "Packed with practical exercises and code examples.") Read more
Specification | Details |
---|---|
ASIN | B0DY1X7P2K |
Publisher | Independently published |
Publication date | February 21, 2025 |
Language | English |
Print length | 149 pages |
ISBN-13 | 979-8311553773 |
Item Weight | 11.5 ounces |
Dimensions | 6.69 x 0.34 x 9.61 inches |
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