Mastering PyTorch and Machine Learning: Essential Techniques

By Ed Norex

Mastering PyTorch and Machine Learning: Essential Techniques is a comprehensive guide designed to take you on a transformative journey through the world of PyTorch and machine learning. Whether you are a novice eager to dive into the realm of deep learning or an experienced developer aiming to refine your skills, this book serves as your indispensable companion.

Dive deep into the fundamentals of PyTorch, exploring its dynamic ecosystem, and unravel the mysteries of tensors, autograd mechanics, and neural network architectures. With detailed discussions on the intricacies of training deep learning models, working with convolutional and recurrent neural networks, and the fascinating world of generative models, this book equips you with the knowledge to tackle modern machine learning challenges.

Learn to implement reinforcement learning, manage performance and scalability, and master the art of deploying PyTorch models efficiently. Through practical examples and expert insights, Ed Norex provides the tools and techniques needed to harness the full potential of PyTorch, enabling you to create robust and scalable machine learning models.

Mastering PyTorch and Machine Learning: Essential Techniques is more than just a book; it's a gateway to unlocking the future of intelligent applications. Embark on this journey to elevate your skills and become proficient in the art and science of machine learning with PyTorch.

• Format: Paperback
• Language: English
• ISBN: B0CW1HWL81
• ISBN13: 9798880134274
• Release Date: February 2024
• Publisher: Independently Published
• Length: 432 Pages
• Weight: 1.27 lbs.
• Dimensions: 0.9" x 6.0" x 9.0"