Slides and Supplementary Material of the past TechTalks at the Karlsruhe Machine Learning, Statistics and AI Meetup
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2017-03-15 Matthias Richter - Automatic Differentiation
2017-04-10 Simon Kohl - Introduction to Generative Adversarial Networks
2017-04-12 Julius Pfrommer - Introduction to Probabilistic Graphical Models
2017-05-24 Christian Hubschneider - Introduction to TensorFlow with Applications to Autonomous Driving
2017-06-22 Marco Huber - Reinforcement Learning
2017-11-17 Manuel Martinez - Neural Network Design and Wasserstein Loss
2018-01-31 Sebastian Lerch - Probabilistic weather prediction
2018-12-12 Manuel Martinez - Wasserstein Distance as a Loss function_theory and applications
README.md

README.md

TechTalks held at the karlsruhe.ai Meetup

This repository contains slides and example code of previous meetups. You can find more information about karlsruhe.ai ind upcoming meetups at karlsruhe.ai.