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Mastering GPU Machine Learning: Accelerate AI with Graphics Processing UnitsBook SummaryMachine learning has transformed industries, but its potential often depends on harnessing the right computational power. Mastering GPU Machine Learning demystifies the complexities of GPUs, empowering you to accelerate your AI projects with cutting-edge techniques. Whether you’re optimizing neural networks, training deep learning models, or deploying AI solutions at scale, this book provides the tools and insights you need.From understanding GPU architecture to implementing practical applications using TensorFlow, PyTorch, and CUDA, this comprehensive guide is packed with real-world examples and step-by-step instructions. Explore advanced topics like distributed training, mixed precision, and troubleshooting performance bottlenecks to gain a competitive edge in your AI journey.Designed for data scientists, machine learning engineers, and AI enthusiasts, this book is your go-to resource for unlocking the true potential of GPUs in machine learning.What to Expect inside the Book?Comprehensive Coverage: Learn everything from GPU basics to advanced machine learning techniques.Hands-On Tutorials: Step-by-step instructions using TensorFlow, PyTorch, and CUDA for practical implementation.Performance Optimization: Master techniques like distributed training, mixed precision, and memory management.Real-World Applications: Explore use cases in image recognition, NLP, and reinforcement learning.Future Trends: Gain insights into AI acceleration beyond GPUs, including TPUs and quantum computing.Transform the way you approach AI development. Get your copy of Mastering GPU Machine Learning: Accelerate AI with Graphics Processing Units today and take your machine learning projects to the next level! Read more
Specification | Details |
---|---|
ASIN | B0DPB8BMXW |
Publisher | Independently published |
Publication date | November 29, 2024 |
Language | English |
Print length | 176 pages |
ISBN-13 | 979-8301715075 |
Item Weight | 14.4 ounces |
Dimensions | 7 x 0.4 x 10 inches |
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