Deep Learning Computer Vision Practice

arui1999

Deep Learning Computer Vision Practice [Copy link]

 

This book is a practical guide to understanding computer vision. It combines theory with practice to provide a one-stop service for theoretical learning, algorithm development, and model deployment. The book is divided into four parts.

The first part includes Chapters 1 and 2, which mainly explain the basics of deep learning and computer vision, such as classic networks in the field of computer vision and common object detection algorithms;

The second part includes Chapters 3 to 6, which mainly explain image processing knowledge and analyze and explain the knowledge points in combination with application cases.

The third part includes Chapters 7 to 11, which mainly explain practical projects in computer vision and trace the implementation details.

The fourth part includes Chapters 12 to 13, which mainly explain the deployment of the model. This part is based on the TensorFlow Lite framework, which has a wide audience and high popularity, and has corresponding support and optimized acceleration solutions on various platforms, making it convenient for readers to use.

The hundreds of knowledge points and more than 50 cases in this book are the author's experience summary in engineering applications. At the end of each chapter, there is a "must-have for advanced learning" to provide readers with more expanded knowledge. This book is suitable for computer vision beginners, computer vision algorithm developers, users who are interested in deep learning or users who are in urgent need of engineering implementation. It is also suitable as a textbook for students of related majors in colleges and universities.

https://download.eeworld.com.cn/detail/%E6%8A%9B%E7%A0%96%E5%BC%95%E7%8E%89/625612

fjdeepblue

Very good e-book, high definition, downloaded and saved, thank you for sharing