Schedule
15 |
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.05.2019 09.00 |
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- 12.00 |
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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. |
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29 |
.05.2019 09.00 |
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- 12.00 |
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5.T04 | Short Presentation of Trained Models Future Scenarios
Final Thoughts |
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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://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/