PyTorch Programming Playbook For Beginners : A Practical Guide to Tensors, Neural Networks, Model Training, and AI Development
Language: English
Published by Independently Published Sep 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 34.21
Quantity: 2 available
Add to basketItem description from seller
Neuware - PyTorch Programming Playbook For Beginners provides a practical introduction to PyTorch for readers who want to move beyond machine learning theory and start building real models with code.The book begins with the foundations of PyTorch, explaining tensors, tensor operations, computational graphs, automatic differentiation, and the core concepts needed to understand how PyTorch works. It then progresses into neural networks, datasets, data loaders, loss functions, optimizers, training loops, validation, and model evaluation.Rather than treating PyTorch as a collection of disconnected APIs, the book develops an understanding of how the major components work together in a complete machine learning workflow. Readers learn how to prepare data, construct neural network architectures, train models, diagnose problems, improve performance, and organize PyTorch projects effectively.What You Will Learn- Understand PyTorch tensors and tensor operations- Work with CPU and GPU computation- Use automatic differentiation and autograd- Build neural networks with torch.nn- Prepare datasets and create data pipelines- Implement training and validation loops- Work with loss functions and optimizers- Monitor and evaluate model performance- Save and load trained models- Identify and troubleshoot common training problems- Build practical neural network projects- Develop a foundation for more advanced deep learning with PyTorchWritten for beginners while maintaining practical depth, this book provides the foundation needed to confidently move into more advanced deep learning techniques and real-world PyTorch development.…
Seller Inventory # 9798171172947
- Title
- PyTorch Programming Playbook For Beginners : A Practical Guide to Tensors, Neural Networks, Model Training, and AI Development
- Author
- Alvin Marsh
- Publisher
- Independently Published Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798171172947
- Item weight
- 381 grams
- Dimensions
- 254x178x11 mm
- Series
- Book 1 of 3: PyTorch Programming Series
The book begins with the foundations of PyTorch, explaining tensors, tensor operations, computational graphs, automatic differentiation, and the core concepts needed to understand how PyTorch works. It then progresses into neural networks, datasets, data loaders, loss functions, optimizers, training loops, validation, and model evaluation.
Rather than treating PyTorch as a collection of disconnected APIs, the book develops an understanding of how the major components work together in a complete machine learning workflow. Readers learn how to prepare data, construct neural network architectures, train models, diagnose problems, improve performance, and organize PyTorch projects effectively.
What You Will Learn
- Understand PyTorch tensors and tensor operations
- Work with CPU and GPU computation
- Use automatic differentiation and autograd
- Build neural networks with torch.nn
- Prepare datasets and create data pipelines
- Implement training and validation loops
- Work with loss functions and optimizers
- Monitor and evaluate model performance
- Save and load trained models
- Identify and troubleshoot common training problems
- Build practical neural network projects
- Develop a foundation for more advanced deep learning with PyTorch
"Synopsis" may belong to another edition of this title.
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|---|---|---|
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