Modern Computer Vision with PyTorch: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI

Aimed at the beginner as well as the professional in the field of computer vision, this book is called “Modern Computer Vision with PyTorch.” It starts with the fundamentals of neural networks and the basics of PyTorch, and then it assists you in deploying state-of-the-art architectures to solve real-world problems.

Regarding the content novelty of the second edition of “Modern Computer Vision with PyTorch,” you’ll find practical illustrations of the recent breakthrough models, such as CLIP and Stable Diffusion, here. You’ll understand how to use images and obtain outcomes, and last but not least, how to shift your models into practice. The book also describes various applications based on the method, such as face detection, object detection, and human pose detection. You will also learn how to generate images with different GAN architectures, use transformer-based models for some tasks, build diffusion models from scratch, and use foundation models for zero-shot detection and segmentation.

At the end of this book, “Modern Computer Vision with PyTorch,” you can apply modern neural networks to common computer vision tasks. You will learn how to integrate computer vision and NLP to solve problems such as OCR and visual question answering. Moreover, you will discover how to deploy your models in the production environment to prepare you for any project where computer vision is necessary.

Modern Computer Vision with PyTorch Table of Contents:

1. Artificial Neural Network Fundamentals
2. PyTorch Fundamentals
3. Building a Deep Neural Network with PyTorch
4. Introducing Convolutional Neural Networks
5. Transfer Learning for Image Classification
6. Practical Aspects of Image Classification
7. Basics of Object Detection
8. Advanced Object Detection
9. Image Segmentation
10. Applications of Object Detection and Segmentation
11. Autoencoders and Image Manipulation
12. Image Generation Using GANs

Who is this course for?

1. Beginners to PyTorch.
2. IT professionals working on intermediate-level machine learning who want to learn computer vision with Deep learning and Pytorch.
3. The book is suitable for anyone who is beginning with neural networks and wants to find examples of how they are used in everyday life.

Click on the links below to Download Modern Computer Vision with PyTorch!