Deep Learning with PyTorch Step-by-Step: A Beginner's Guide: Volume II: Computer Vision

This book is a comprehensive guide to deep learning with PyTorch, providing an easy-to-follow, structured, and incremental approach to learning.

The author takes a conversational tone, making it feel like you're having a conversation with them.

You'll learn about deeper models, activation functions, convolutional neural networks, initialization schemes, learning rate schedulers, transfer learning, and more.

By the end of the book, you'll have a thorough understanding of the concepts and tools necessary to start developing, training, and fine-tuning computer-vision models using PyTorch.

Whether your goal is to learn about deep learning models for computer vision or you're already comfortable training simple models in PyTorch, this book is the right one for you.

With a focus on practical applications and real-world examples, this book will help you master PyTorch and start building your own deep learning models today!