https://github.com/ml-jku/oeaw_ai_summer_school

Introduction to Machine Learning and Neural Networks, including NNs, CNNs, RNNs, AE, VAE, and GAN
https://github.com/ml-jku/oeaw_ai_summer_school

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Introduction to Machine Learning and Neural Networks, including NNs, CNNs, RNNs, AE, VAE, and GAN

• Host: GitHub
• URL: https://github.com/ml-jku/oeaw_ai_summer_school
• Owner: ml-jku
• Created: 2020-04-29T07:20:02.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-06-18T11:36:25.000Z (about 5 years ago)
• Last Synced: 2025-02-27T07:26:44.989Z (4 months ago)
• Size: 48.6 MB
• Stars: 19
• Watchers: 5
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Introduction to Supervised Machine Learning and Neural Networks

These materials were used for the [ÖAW AI Summer School 2019](https://indico.hephy.oeaw.ac.at/event/431).

These slide sets give an introduction to Machine Learning and Neural Networks, NNs, CNNs, RNNs, AE, VAE, and GAN.

A special focus is laid on LSTMs in the RNN slides.

Authors: Johannes Brandstetter and Michael Widrich