Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques
Language: English
Published by Orange Education Pvt Ltd, 2025
- Softcover
- New

Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle
4-star seller
AbeBooks seller since November 22, 2018
Softcover
Condition: New
US$ 35.62
US$ 3.99 shipping
Ships within U.S.A.
Quantity: 4 available
Add to basketFree 30-day returns
Seller Inventory # 26405766139
- Title
- Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques
- Author
- Siddiqui, M. Arshad; AVA, Orange
- Publisher
- Orange Education Pvt Ltd
- Publication year
- 2025
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 9348107089
- ISBN 13
- 9789348107084
Unleashing the Power of Computer Vision with PyTorch 2.0.
Book Description
In an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has become the leading framework for high-performance AI solutions. [Mastering Computer Vision with PyTorch 2.0] bridges the gap between theory and application, guiding readers through PyTorch essentials while equipping them to solve real-world challenges.
Starting with PyTorch’s evolution and unique features, the book introduces foundational concepts like tensors, computational graphs, and neural networks. It progresses to advanced topics such as Convolutional Neural Networks (CNNs), transfer learning, and data augmentation. Hands-on chapters focus on building models, optimizing performance, and visualizing architectures. Specialized areas include efficient training with PyTorch Lightning, deploying models on edge devices, and making models production-ready.
Explore cutting-edge applications, from object detection models like YOLO and Faster R-CNN to image classification architectures like ResNet and Inception. By the end, readers will be confident in implementing scalable AI solutions, staying ahead in this rapidly evolving field. Whether you're a student, AI enthusiast, or professional, this book empowers you to harness the power of PyTorch 2.0 for Computer Vision.
Table of Contents
1. Diving into PyTorch 2.0
2. PyTorch Basics
3. Transitioning from PyTorch 1.x to PyTorch 2.0
4. Venturing into Artificial Neural Networks
5. Diving Deep into Convolutional Neural Networks (CNNs)
6. Data Augmentation and Preprocessing for Vision Tasks
7. Exploring Transfer Learning with PyTorch
8. Advanced Image Classification Models
9. Object Detection Models
10. Tips and Tricks to Improve Model Performance
11. Efficient Training with PyTorch Lightning
12. Model Deployment and Production-Ready Considerations
Index
Book Description
In an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has become the leading framework for high-performance AI solutions. [Mastering Computer Vision with PyTorch 2.0] bridges the gap between theory and application, guiding readers through PyTorch essentials while equipping them to solve real-world challenges.
Starting with PyTorch’s evolution and unique features, the book introduces foundational concepts like tensors, computational graphs, and neural networks. It progresses to advanced topics such as Convolutional Neural Networks (CNNs), transfer learning, and data augmentation. Hands-on chapters focus on building models, optimizing performance, and visualizing architectures. Specialized areas include efficient training with PyTorch Lightning, deploying models on edge devices, and making models production-ready.
Explore cutting-edge applications, from object detection models like YOLO and Faster R-CNN to image classification architectures like ResNet and Inception. By the end, readers will be confident in implementing scalable AI solutions, staying ahead in this rapidly evolving field. Whether you're a student, AI enthusiast, or professional, this book empowers you to harness the power of PyTorch 2.0 for Computer Vision.
Table of Contents
1. Diving into PyTorch 2.0
2. PyTorch Basics
3. Transitioning from PyTorch 1.x to PyTorch 2.0
4. Venturing into Artificial Neural Networks
5. Diving Deep into Convolutional Neural Networks (CNNs)
6. Data Augmentation and Preprocessing for Vision Tasks
7. Exploring Transfer Learning with PyTorch
8. Advanced Image Classification Models
9. Object Detection Models
10. Tips and Tricks to Improve Model Performance
11. Efficient Training with PyTorch Lightning
12. Model Deployment and Production-Ready Considerations
Index
"Synopsis" may belong to another edition of this title.
Books Puddle
Woodside, NY, U.S.A.
4-star seller
AbeBooks seller since November 22, 2018
Shipping rates within U.S.A.
| Item | 12 to 19 business days | 12 to 14 business days |
|---|---|---|
| First item | US$ 3.99 | US$ 6.99 |
Payment methods
Store description
I mainly carry imported books from South East Asia / South Asia for readers of all Age Groups.
Specialty
South Asian and South East Asian Culture, Religion, Art etcSeller's business information
PLETOS INC
6931 51st Avenue, WOODSIDE
Woodside, NY U.S.A. 11377
Terms of sale
We accept return for those books which are received damaged. Though we take appropriate care in packing to avoid such situation.