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Hands-On Java Deep Learning for Computer Vision
book

Hands-On Java Deep Learning for Computer Vision

by Klevis Ramo
February 2019
Intermediate to advanced content levelIntermediate to advanced
260 pages
6h 3m
English
Packt Publishing
Content preview from Hands-On Java Deep Learning for Computer Vision

Building an animal image classification – using transfer learning and VGG-16 architecture

In this section, we're going to build a cat-and-dog recognizer Java application using the VGG-16 architecture and transfer learning. Let's revisit the VGG-16 architecture (explained previously in the Working with classical networks section).

The VGG-16 architecture is quite uniform; we have only one 3 x 3 same convolution, which leaves the first 2 dimensions untouched and increases the number of channels in the third dimension, and also increases the max pooling 2 x 2 stride two, which, in turn, decreases the first 2 dimensions by dividing it by 2, thereby leaving the third dimension untouched. The idea with many convolution architectures is eventually ...

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Publisher Resources

ISBN: 9781789613964Supplemental Content