Deep learning, concepts and frameworks: Find your way through the jungle (talk)

Today at OOP in Munich, I had an in-depth talk on deep learning, including applications, basic concepts as well as practical demos with Tensorflow, Keras and PyTorch.

As usual, the slides are on RPubs, split up into 2 parts because of the plenty of images included – lossy png compression did work wonders but there’s only so much you can expect 😉 – so there’s a part 1 and a part 2.

There’s also the github repository with the demo notebooks.

Thanks to everyone who attended, and thank you for the interesting questions!

Practical Deep Learning (talk)

Yesterday at IT Tage 2017, I had an introductory-level talk on deep learning.

After giving an overview of concepts and frameworks, I zoomed in on the task of image classification using Keras, Tensorflow and PyTorch, not aiming for high classification accuracy but wanting to convey the different “look and feel” of these frameworks.

(By sheer chance, the use case chosen happened to be about telling apart different types of endurance sports ;-))

Here are the slides, and here are the Jupyter notebooks.

Thanks to everyone who attended & thanks for reading!