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Schedule

15/5/2019

09.00 to 12.00

Machine Learning & AI?

9:00 Machine Learning Introduction

11:00 Lecture. Thomas Deselaers: Machine Learning for drawing and writing recognition at Google 

29/5/2019

09.00 to 12.00

Machine Learning & AI?

Neural Network Role-play and TensorFlow Exercises 

Future Scenarios


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/)