August 2018
Intermediate to advanced
272 pages
7h 2m
English
book
Hands-On Convolutional Neural Networks with TensorFlow
by Iffat Zafar, Giounona Tzanidou, Richard Burton, Nimesh Patel, Leonardo Araujo
Content preview from Hands-On Convolutional Neural Networks with TensorFlow
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Deconvolution layer (Transposed convolution)
This operation is rather badly named as deconvolution, which implies that it is the inverse operation to convolution, but that is not actually the case. The more apt name is transposed convolution or fractionally-strided convolution.
This layer type offers you a learnable way of upsampling an input volume and can be used every time that you need to intelligently project an input feature map to a higher spatial space. Some use cases include the following:
- Upsampling (strided transposed convolution) == UNPOOL+CONV
- Visualizing salient maps
- As part of autoencoders
In Tensorflow, we have access to ...
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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.
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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.