Schedule
15.05.2019: 09.15-11.30, 4.K14
- 09:00 What is ML? (Overview)
- 09:15 ML Introduction & History (Luke)
- 10:00 First Exercise (Car Example / Role Play)
- 11:00 Processing Retraining Exercise
- Homework: Train a Small Model that is useful to you.
29.05.2019: 09.15-11.30, 5.T04
Short Presentation of Trained Models
- Future Scenarios
- Ethics (Thought Experiments)
- GAI (Deepmind, OpenAI)
- Final Thoughts
Links
Tools
- http://www.wekinator.org/
- https://js.tensorflow.org/
- basic neural network in processing
- Image classification with neural nets 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/#activation=relu&batchSize=1&dataset=spiral®Dataset=reg-plane&learningRate=0.003®ularizationRate=0&noise=0&networkShape=8,8,8,8,8,8&seed=0.51551&showTestData=false&discretize=false&percTrainData=90&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false
- 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/