Schedule
15.05.2019: 09.15-11.30, 4.K14
- 09:15 ML Introduction & History
- 10:00 First Exercise (Car Example / Role Play)
- 10:30 Processing Transfer Learning Exercise
29.05.2019: 09.15-11.30, 5.T04
- Future Scenarios
- Ethics (Thought Experiments)
- GAI (Deepmind, OpenAI)
- Final Thoughts
Links
Tools
- Wekinator
- Tensorflow.js
- Basic Neural Network in Processing
- Image Classification with Neural Networks in Processing
Example Files
Tutorials
- https://www.youtube.com/watch?v=pqY_Tn2SIVA&index=0&list=PLRqwX-V7Uu6Zs14zKVuTuit6jApJgoYZQ
- https://github.com/CodingTrain/Toy-Neural-Network-JS
Machine Learning References
- https://nsynthsuper.withgoogle.com/
- https://medium.com/typeme/lets-code-a-neural-network-from-scratch-part-1-24f0a30d7d62
- https://playground.tensorflow.org/
- http://neuralnetworksanddeeplearning.com/index.html
- http://ml4a.github.io/ml4a/
- https://experiments.withgoogle.com/ai
- https://play.google.com/store/apps/details?id=com.google.android.apps.handwriting.ime&hl=en
- https://quickdraw.withgoogle.com/