Learn Pytorch (Paperback)

Diego Rodrigues

ISBN 13: 9798312289015

Published by Independently Published, 2025

About this Item

Paperback. Welcome to "LEARN PYTORCH: Master the Creation of Deep Learning Models with Flexibility and Efficiency - 2024 Edition," an essential guide to taking your artificial intelligence skills to the next level. Written by Diego Rodrigues, author of over 180 titles published in six languages, this book combines theory and practice to empower you to build innovative and robust applications with PyTorch, one of the world's most popular deep learning libraries.Whether you're a beginner or an experienced professional, this book offers an in-depth dive into the fundamentals and advanced applications of PyTorch. From tensor manipulation to implementing modern architectures like GANs and Transformers, you'll be guided through structured learning and practical exercises designed to solve real-world problems.You will learn how to: Create custom neural networks and train them efficiently.Use advanced features such as distributed processing and GPU training.Develop optimized solutions for computer vision, NLP, and other AI domains.Apply best practices for data preprocessing, augmentation, and model validation.The content includes clear examples, practical case studies, and optimization techniques for different cloud platforms like AWS and Google Cloud. This is the definitive resource for those who want to master PyTorch and turn ideas into technological innovations.If you're ready to harness the power of deep learning, "LEARN PYTORCH: Master the Creation of Deep Learning Models with Flexibility and Efficiency" is your guide to shaping the future with artificial intelligence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9798312289015

Bibliographic Details

• Title: Learn Pytorch (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798312289015
• Binding: Paperback
• Condition: new

About this title

Synopsis

This book is ideal for developers and students who want to build deep learning models with PyTorch, combining flexibility, control, and real-world performance.

You will learn to apply modern techniques to design, train, and scale robust neural networks in real-world environments, covering everything from fundamentals to advanced architectures.

Includes:

• Tensor manipulation and Autograd usage

• Modular neural network construction with torch.nn

• Training with DataLoader, optimizers, and loss functions

• Practical application with CNNs, RNNs, Transformers, and GANs

• Integration with PyTorch Lightning, TorchScript, and model export

• Real-world projects with NLP, computer vision, IoT, and cloud deployment

By the end, you will master PyTorch as a professional tool to design scalable AI solutions with technical precision and development agility.

ytorch, deep learning, neural networks, torch.nn, autograd, distributed training, cnn, rnn, transformers, deployment