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

• Wekinator Example
• Tensorflow.js & MQTT

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&regDataset=reg-plane&learningRate=0.003&regularizationRate=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/