Deep Learning with PyTorch Playbook: Practical Techniques for Building, Training, and Optimizing Deep Learning Models (PyTorch Programming Series)
Language: English
Published by Independently published, 2026
- Softcover
- New

Seller: California Books, Miami, FL, U.S.A.California Books
AbeBooks seller since October 27, 2023
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- Title
- Deep Learning with PyTorch Playbook: Practical Techniques for Building, Training, and Optimizing Deep Learning Models (PyTorch Programming Series)
- Author
- Marsh, Alvin
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798171180928
- Series
- Book 2 of 3: PyTorch Programming Series
This book focuses on the practical challenges that arise when moving from simple neural networks to more capable deep learning systems. Readers explore deeper architectures, convolutional neural networks, sequence models, modern training strategies, transfer learning, regularization, performance optimization, and techniques for building more reliable models.
The emphasis is on understanding the complete deep learning workflow—from preparing data and designing architectures to training models efficiently, diagnosing problems, evaluating results, and improving performance.
What You Will Learn
- Design and implement advanced neural network architectures
- Build convolutional neural networks for computer vision
- Work with sequential and structured data
- Apply regularization and techniques for improving generalization
- Select and configure loss functions and optimizers
- Use learning-rate strategies and training techniques
- Apply transfer learning and pretrained models
- Build more efficient and scalable training workflows
- Diagnose overfitting, underfitting, and training instability
- Improve model performance and computational efficiency
- Evaluate deep learning models effectively
- Structure practical PyTorch deep learning projects
"Synopsis" may belong to another edition of this title.
California Books
Miami, FL, U.S.A.
AbeBooks seller since October 27, 2023
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