Learning Data Mining with Python - Second Edition

Summary

In this chapter, we looked at using deep neural networks, specifically convolution networks, in order to perform computer vision. We did this through the Keras package, which uses Tensorflow or Theano as its computation backend. The networks were relatively easy to build with Kera's helper functions.

The convolution networks were designed for computer vision, so it shouldn't be a surprise that the result was quite accurate. The final result shows that computer vision is indeed an effective application using today's algorithms and computational power.

We also used a GPU-enabled virtual machine to drastically speed up the process, by a factor of almost 10 for my machine. If you need extra power to run some of these algorithms, virtual ...