Atlassian uses cookies to improve your browsing experience, perform analytics and research, and conduct advertising. Accept all cookies to indicate that you agree to our use of cookies on your device. Atlassian cookies and tracking notice, (opens new window)
Confluence
For you

Bits & Atoms IV
Results will update as you type.
  • Bits & Atoms IV 2018
  • Wekinator Example
  • Bits & Atoms IV 2021
  • Bits & Atoms IV 2025

    Two hearts overlapped with each other
    Welcome back
    Catch up on the top discussions and highlights from your team.
    /
    Bits & Atoms IV 2018
    Updated May 25, 2018

    Bits & Atoms IV 2018

    May 25, 2018

    Analytics

    Loading data...

    Schedule

    Week 1 to Week 5

    Computer Vision, OSC, MIDI, MQTT, Tracking, Max MSP & Pure Data, Resolume Avenue



    As part of Spatial Interaction.

    Week 6 3/5/2018

    Thursday 09.00 to 12.00

    Machine Learning & AI

    ZT 5.K03

    9:00 Machine Learning Introduction

    11:00 Lecture. Thomas Deselaers: Machine Learning for drawing and writing recognition at Google (https://play.google.com/store/apps/details?id=com.google.android.apps.handwriting.ime&hl=en

    https://quickdraw.withgoogle.com/)

    Week 7 17/5/2018

    Thursday 09.00 to 12.00

    Machine Learning & AI

    ZT 5.K03

    Neural Network Role-play and TensorFlow Exercises 

    Week 8 24/5/2018

    Thursday 09.00 to 12.00

    Machine Learning & AI

    ZT 3.K10

    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



    {"serverDuration": 18, "requestCorrelationId": "6a99ae71096f42609e637328871a1f52"}