PYTORCH FOR DEEP LEARNING: A PRACTICAL INTRODUCTION FOR BEGINNERS

Luiz, Barry

ISBN 13: 9798310477131

Published by Independently published, 2025

About this Item

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Seller Inventory # I-9798310477131

Bibliographic Details

• Title: PYTORCH FOR DEEP LEARNING: A PRACTICAL INTRODUCTION FOR BEGINNERS
• Publisher: Independently published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798310477131
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Ready to dive into the revolutionary world of Deep Learning but feeling overwhelmed? This book is your friendly, hands-on guide to mastering PyTorch, the powerful and intuitive Python framework that's transforming artificial intelligence.

"PyTorch for Deep Learning: A Practical Introduction for Beginners" provides a clear and accessible path for anyone with basic Python knowledge to build and train their own deep learning models. You'll start with the fundamentals, learning about tensors, automatic differentiation, and neural network building blocks. The book then guides you through practical examples, including image and text classification, using convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Finally, you'll discover advanced techniques like transfer learning to leverage pre-trained models for rapid development and cutting-edge results. Throughout the book, code examples are clear, well-documented, and designed to help you build real-world applications.

This book prioritizes hands-on learning and makes no assumptions about previous machine learning knowledge. Learn to build and train linear regression and logistic regression models, how data is handled by datasets and dataloaders, and how to monitor and evaluate model performance using metrics and visualizations. This book provides practical exercises that reinforce learning and show how to apply what you’ve learned to real-world problems. This book will help you to gain skills in one of the most indemand AI frameworks.

Why Choose This Book?

• Beginner-Friendly: Assumes no prior machine learning knowledge.

• Practical Focus: Emphasizes hands-on coding and real-world applications.

• Clear Explanations: Breaks down complex concepts into simple, easy-to-understand terms.

• Step-by-Step Guidance: Provides a structured path from foundational concepts to building complete deep learning pipelines.

• Up-to-Date Content: Covers the latest PyTorch features and best practices.

Ready to transform your Python skills into Deep Learning expertise? Grab your copy of "PyTorch for Deep Learning: A Practical Introduction for Beginners" today and start building the future of AI!