PyTorch for Beginners: A Hands-On Guide to Deep Learning with Python PyTorch for Beginners is a practical, beginner-friendly introduction to building deep learning models using Python and PyTorch. This book demystifies the world of neural networks by guiding readers through real-world projects and step-by-step implementations, all without requiring a background in machine learning or advanced mathematics. Whether you're just starting your journey in artificial intelligence or switching from another framework, this guide ...
Read More
PyTorch for Beginners: A Hands-On Guide to Deep Learning with Python PyTorch for Beginners is a practical, beginner-friendly introduction to building deep learning models using Python and PyTorch. This book demystifies the world of neural networks by guiding readers through real-world projects and step-by-step implementations, all without requiring a background in machine learning or advanced mathematics. Whether you're just starting your journey in artificial intelligence or switching from another framework, this guide helps you gain a solid foundation and hands-on experience with one of today's most popular deep learning libraries. With a clear focus on practical applications, the book covers everything from tensors and automatic differentiation to building and training your first neural network. By the end, you'll be comfortable creating models for tasks like image classification, natural language processing, and more empowered to take on real-world deep learning challenges with confidence. This book simplifies deep learning by combining theoretical insights with code-driven learning. Using PyTorch, one of the most flexible and beginner-friendly frameworks, you'll learn to work with tensors, train models, and understand how neural networks operate under the hood. Each chapter builds on the last, offering progressively deeper insights into model design, optimization, and deployment. Key Features of This Book Step-by-step tutorials with fully documented PyTorch code Real-world projects covering vision and NLP applications Clear explanations of core deep learning concepts Best practices for training, debugging, and optimizing models Hands-on exercises to reinforce learning at each stage A complete companion code repository for experimentation This book is ideal for Python developers, students, data enthusiasts, and aspiring machine learning engineers who want to break into deep learning using a practical, project-based approach. No prior experience with PyTorch or deep learning is required just a willingness to learn and experiment. Whether you're building your first neural network or preparing for a deep learning role, PyTorch for Beginners is your gateway into modern AI development. Grab your copy now and start building real-world deep learning models with confidence one line of PyTorch code at a time!
Read Less
Add this copy of PyTorch for Beginners: A Hands-On Guide to Deep to cart. $20.12, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
