January 2018
Beginner to intermediate
284 pages
8h 35m
English
Content preview from Deep Learning Essentials
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Deep Learning in Computer Vision
In the previous chapter, we covered the basics of a neural network and how it is trained and applied for solving a specific artificial intelligence (AI) task. As outlined in the chapter, one of the most popular deep learning models that are broadly used in the field of computer vision is a convolutional neural network, also known as a CNN. This chapter aims to cover CNNs in more detail. We will go over core concepts that are essential to the working of a CNN, and how they can be used to solve real-world computer vision problems. We will specifically answer the following questions:
- How did CNNs originate and what is their historical significance?
- What core concepts form the basis for understanding CNNs?
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.