Deep Learning for Computer Vision

by Rajalingappaa Shanmugamani

Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision, the science of manipulating and processing images. In this book, you will learn different techniques in deep learning to accomplish tasks related to object classification, object detection, image segmentation, captioning, ...

Genres: Artificial Intelligence, Programming, Computer Science

310 pages, ebook

Published January 23, 2018

Reviews

[Keyo Çalî · Rating 3 out of 5]

if you want to implement deep learning models, this is not a good book.
this book shows you what can be done in deep learning on computer vision. you can see lots of algorithms and models used in computer vision with different datasets. however, it has a weakness in the implementation of algorithms and models.

it used lots of pre-trained and ready models, and you can't discover and get what you need to be learned.

[Carter · Rating 3 out of 5]

The content in this book seems to be more in outline form than truly a book. What is there is generally good but it needs fleshing out. Currently it's a bit too succinct but the general references are reasonable if you want to dig a bit deeper. I find it a bit hard to believe a publisher would accept something like this for publication though.

[RISHIKESAN V · Rating 5 out of 5]

Useful for interdisciplinary engineers..

This book covers all the fundamental concepts in machine learning and image processing. More practical problems were discussed. It is very useful for engineers who want to excel in the interdisciplinary area.

[Prof. Dr. · Rating 4 out of 5]

This book demonstrates the potential of deep learning and gives pointer to useful resources. But, it lacks detail