Deep learning "hands-on" tutorial

As a follow-up to our previous meetup we will do a deep learning "hands-on" tutorial, showing some code examples of how to use deep learning in practice.

We will introduce some common deep learning frameworks, discuss some freely available pretrained deep learning models, and show how these can be used for e.g. image classification. We also show how these models can be trained for your own classification tasks. If time permits, we might touch on some examples using recurrent neural networks, and other fun stuff. The tutorial will be light on theory, but some knowledge of neural networks and machine learning in general will be very helpful. The code examples will be done in python, and ipython notebooks will be shared before or after the presentation.