PyTorch Essentials: A Comprehensive Guide to Machine Learning Techniques
Author | : Adam Jones |
Publisher | : Walzone Press |
Total Pages | : 248 |
Release | : 2024-12-03 |
ISBN-10 | : |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book PyTorch Essentials: A Comprehensive Guide to Machine Learning Techniques written by Adam Jones and published by Walzone Press. This book was released on 2024-12-03 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: "PyTorch Essentials: A Comprehensive Guide to Machine Learning Techniques" is an essential resource for programmers, researchers, and enthusiasts eager to enhance their mastery of machine learning and artificial intelligence through the PyTorch framework. This guide deftly combines theoretical foundations with hands-on applications, covering everything from basic tensor manipulation and neural network creation to sophisticated architectures such as CNNs, RNNs, and generative models. Additionally, it delves into reinforcement learning, optimization strategies, and best practices for deployment, empowering readers with the skills to develop scalable, production-ready solutions. Whether advancing your research or solving real-world industry challenges, this book serves as your indispensable guide to mastering machine learning with PyTorch.