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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

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781788834131
Length 250 pages
Edition 1st Edition
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Authors (2):
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Sherin Thomas Sherin Thomas
Author Profile Icon Sherin Thomas
Sherin Thomas
Sudhanshu Passi Sudhanshu Passi
Author Profile Icon Sudhanshu Passi
Sudhanshu Passi
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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...

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