Difference between revisions of "Machine Learning Experiments"

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===Workshop===
===Workshop===
*[https://anatomiesofintelligence.github.io/workshop_presentation.html Anatomies of Intelligence] (2019), led by Joana Chicau and Jonathan Reus 
*[https://www.vam.ac.uk/blog/museum-life/open-call-the-work-of-art-in-the-age-of-artificial-intelligence-workshop The Work of Art in the Age of Artificial Intelligence Workshop] (2018) by media art curator Natalia Fuchs and media artist Helena Nikonole
*[https://www.vam.ac.uk/blog/museum-life/open-call-the-work-of-art-in-the-age-of-artificial-intelligence-workshop The Work of Art in the Age of Artificial Intelligence Workshop] (2018) by media art curator Natalia Fuchs and media artist Helena Nikonole
*[http://www.spacestudios.org.uk/art-technology/counting-to-4-0-1-2-3-data-collection-as-art-practice-protest/ Counting to 4: 0, 1, 2, 3 – Data Collection as Art Practice & Protest] (2017) by Caroline Sinders
*[http://www.spacestudios.org.uk/art-technology/counting-to-4-0-1-2-3-data-collection-as-art-practice-protest/ Counting to 4: 0, 1, 2, 3 – Data Collection as Art Practice & Protest] (2017) by Caroline Sinders

Revision as of 09:51, 14 December 2019

Introduction to Machine Learning

Cultural matters with Machine Learning

Technical explanation on Machine Learning

RNN/LSTM focus

Neural Network

Data Processing

Examples with source code

Mixed media (text/image)

Text related

Chinese text related

Image related

Sound related

Projects

Text related

Artworks

Examples/Performance/Speculative design

Exhibition

Workshop

Conference

Preconference Workshop] (2018)

Demo/Experimental Projects

Learning resource

Teaching Machine Learning

Experiments/Tests

  • 08/2019: Runway's image to text prediction: "a collage of photos of a man on a motorcycle"
runway3
  • 08/2019: Runway's YOLACT - computer and algorithm shift our attention to something else. A lid cannot be recognized but that's the key object in the photo (ways of human seeing) actually. May be the training data contains mostly western objects.
    runway1
    runway2
  • 08/2019: Running LSTM/tensorflow with text_predictor.py and ml5 training
training both
  • 12/2018: Try running LSTM/tensorflow training on chinese text with python (again following text predictor)
weiboscope
  • 11/2018: Try running LSTM/tensorflow training with Python (following text predictor)from my PhD thesis text
PhD thesis
  • 11/2018: Try running local ml5 + python training with English text (multiple manifestos) and generate 10000 characters text from multiple manifestos
manifestos
  • 06/2018: Try running LSTM ml5js with training simplied chinese data. Source from weiboscope 2012 week 1 deleted text
weiboscope text
  • 06/2018: Running LSTM ml5js example with my own training data
Training Process
Outcome Process
  • 2018: Running ml5.js example - Simple LSTM Generator Example on a local browser
Predicting what's the text
  • Running ml5.js example - Simple Image Classification Example on a local browser
Predicting what's the image with confidence level
  • Running spam data with RecurrentJS on a local browser
Running spam data with RecurrentJS
  • Running a customized neural network on a local browser
Learning XOR with Synaptic
  • Running a PNG file with Synaptic.js on a local browser
Learning a png file with Synaptic
  • Running a jpg file with ConvNetJS on a local browser
Learning a jpg file with ConvNetJS