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In this article, we are going to demonstrate how to build a simple text classifier for larger than RAM datasets. This approach is called Out of Core Learning, and many python Machine Learning librairies make this very easy to implement. For this example I used reviews from the Yelp Dataset Challenge and Python scikit-learn.
Lately I spent some time using Deep Learning and configuring Linux servers with GPUs so the models train faster. In this short blog post I am going to list all what you have to follow in order to properly install the nvidia drivers, cuda, and other tools you'll need before running Tensorflow (or Keras) with GPU support. Let's get to it !
I started to use Keras for Deep Learning months ago, and as I was using it, I thought I should make a memo of all the cool features and network architectures I was using. This post aims at sharing some snippets I have found useful, so I can reuse them later. Maybe it will be useful to you as well !
A tutorial on how to get started with Docker.
A short introduction and tutorial to Git, the versionning tool created by Linus Torvalds.