December 2018
Intermediate to advanced
394 pages
10h 26m
English
Content preview from Keras 2.x Projects
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Structure of a CNN
After analyzing every component of a CNN in detail, it's time to see the general structure of a CNN as a whole. For example, starting from the images as input layers, there will be a certain series of convolutional layers interspersed with a ReLU layer and, when necessary, the standardization and pooling layers. Finally, there will be a series of FC layers before the output layer.
CNNs have the following two types of neurons:
- Processing neurons: These process a limited portion of the image through a convolution function. Their task is to extract features from input data.
- Aggregation or pooling neurons: These aggregate the input and reduces the volume by means of a subsampling in order to streamline the processing for the ...
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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.