دانلود کتاب پروژه‌های بینایی کامپیوتر با Pytorch

This book explores various popular methodologies in the field of computer vision in order to unravel its mysteries. We use the PyTorch framework, because it’s used by researchers, developers, and beginners to leverage the power of deep learning. This book explores multiple computer vision problems and shows you how to solve them. You can expect an introduction to some of the most critical challenges with hands-on code in PyTorch, which is suitable for beginner and intermediate Python users, along with various methodologies used to solve those business problems.

Production-grade code related to important concepts we present over the course of the book will help you get started quickly. These code snippets can be run on local systems, with or without GPUs (Graphics Processing Units) or on a cloud platform.

We’ll introduce you to the concepts of image processing in stages, starting with the basic concepts of computer vision in the first chapter. We’ll also delve into the field of deep learning and explain how models are developed for vision-related tasks. You’ll get a quick introduction to PyTorch to prepare you for the example business challenges we’ll be presenting later in the book. We explore concepts of the revolutionary convolutional neural networks, as well as architectures such as VGG, ResNet, YOLO, Inception, R-CNN, and many others.