Difference between revisions of "Machine Learning Experiments"

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*[https://jods.mitpress.mit.edu/pub/costanza-chock Design Justice, A.I., and Escape from the Matrix of Domination] (2018) by Sasha Costanza-Chock
*[https://jods.mitpress.mit.edu/pub/costanza-chock Design Justice, A.I., and Escape from the Matrix of Domination] (2018) by Sasha Costanza-Chock
*[http://www.aprja.net/entanglement-machine-learning-and-human-ethics-in-driver-less-car-crashes/ Entanglement: Machine learning and human ethics in driver-less car crashes (2017)] by Maya Indira Ganesh
*[http://www.aprja.net/entanglement-machine-learning-and-human-ethics-in-driver-less-car-crashes/ Entanglement: Machine learning and human ethics in driver-less car crashes (2017)] by Maya Indira Ganesh
*[https://docs.google.com/document/d/11dVbSJblYHSgD1kUqKwrAPm0C7dOPs7vd9ywxsXYylU/edit //Machine Learning and the Complexities of Human Emotions//] by Caroline Sinders
*[https://docs.google.com/document/d/11dVbSJblYHSgD1kUqKwrAPm0C7dOPs7vd9ywxsXYylU/edit Machine Learning and the Complexities of Human Emotions] by Caroline Sinders
*[http://www.bath.ac.uk/research/news/2017/04/13/biased-bots-artificial-intelligence/ Biased bots: Human prejudices sneak into AI systems] by Joanna Bryson   
*[http://www.bath.ac.uk/research/news/2017/04/13/biased-bots-artificial-intelligence/ Biased bots: Human prejudices sneak into AI systems] by Joanna Bryson   
*[https://quamproxime.com/2017/07/30/the-temporality-of-artificial-intelligence/ The Temporality of Artificial Intelligence (2017)] by Kathryn Hume
*[https://quamproxime.com/2017/07/30/the-temporality-of-artificial-intelligence/ The Temporality of Artificial Intelligence (2017)] by Kathryn Hume

Revision as of 10:21, 1 August 2018

Introduction to Machine Learning

Cultural matters with Machine Learning

Technical explanation on Machine Learning

RNN/LSTM focus

Neural Network

Examples with source code

Mixed media (text/image)

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

  • 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