December 2018
Intermediate to advanced
394 pages
10h 26m
English
Content preview from Keras 2.x Projects
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Summary
In this chapter, we have learned about the basics of CNNs. To begin with, the basic concepts of computer vision were analyzed. Computer vision is the discipline that studies how to enable computers to understand and interpret visual information that's present in images or videos. This also deals with the analysis of numerical images.
Then, the architecture of convolutional network models was explored. A CNN consists of a series of layers such as input, convolutional, ReLU, pool, and fully connected layers. Each identify as a level of the CNN. The convolutional layer is the main level of the network. Its goal is to identify patterns, such as curves, angles, circumferences, or squares that have been depicted in an image with high accuracy. ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.