Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
PyTorch Deep Learning Hands-On

You're reading from   PyTorch Deep Learning Hands-On Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily

Arrow left icon
Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781788834131
Length 250 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Sherin Thomas Sherin Thomas
Author Profile Icon Sherin Thomas
Sherin Thomas
Sudhanshu Passi Sudhanshu Passi
Author Profile Icon Sudhanshu Passi
Sudhanshu Passi
Arrow right icon
View More author details
Toc

Chapter 4. Computer Vision

Computer vision is the stream of engineering that gives eyes to a computer. It powers all sorts of image processing, such as face recognition in an iPhone, Google Lens, and so on. Computer vision has been around for decades and is probably best explored with the help of artificial intelligence, which will be demonstrated in this chapter.

We reached human accuracy in computer vision years ago in the ImageNet challenge. Computer vision has gone through an enormous amount of change in the last decade, from being an academically oriented object detection problem to a segmentation problem used by self-driving cars on real roads. Although people had come up with many different network architectures to solve computer vision, convolutional neural networks (CNNs) beat all of them.

In this chapter, we will discuss basic CNNs built on PyTorch and variants of them that have been successfully used in some state-of-the-art models powering several applications...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image