Deep Learning with PyTorch Playbook : Practical Techniques for Building, Training, and Optimizing Deep Learning Models
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$ 34.35
Quantity: 2 available
Add to basketItem description from seller
Neuware - Deep Learning with PyTorch Playbook takes the fundamentals of PyTorch and moves into more advanced techniques for developing, training, evaluating, and optimizing deep learning models.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 projectsThis book is intended for readers who have a basic understanding of PyTorch and want to develop stronger practical skills for building and optimizing modern deep learning models.…
Seller Inventory # 9798171180928
- Title
- Deep Learning with PyTorch Playbook : Practical Techniques for Building, Training, and Optimizing Deep Learning Models
- Author
- Alvin Marsh
- Publisher
- Independently Published Sep 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798171180928
- Item weight
- 395 grams
- Dimensions
- 254x178x12 mm
- 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.
Shipping rates from Germany to U.S.A.
| Item | 7 to 10 business days | 5 to 7 business days |
|---|---|---|
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