Difference between revisions of "Machine Learning Experiments"

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*[http://www.cs.toronto.edu/~ilya/rnn.html THE TEXT-GENERATING RNN DEMO by Ilya Sutskever]
*[http://www.cs.toronto.edu/~ilya/rnn.html THE TEXT-GENERATING RNN DEMO by Ilya Sutskever]
*[http://www.cs.toronto.edu/~graves/handwriting.html Handwriting Generation Demo by Alex Graves]
*[http://www.cs.toronto.edu/~graves/handwriting.html Handwriting Generation Demo by Alex Graves]
*[https://medium.com/@samim/obama-rnn-machine-generated-political-speeches-c8abd18a2ea0 Obama RNN] by Samim
*[https://twitter.com/RNN_Bible RNN Bible on Twitter]
[Artworks]
[Artworks]
*[http://cloudindx.com/ Cloud index] by James Bridle | Read his interview [https://medium.com/intersections-arts-and-digital-culture-in-the-uk/james-bridle-machine-learning-in-practice-d7cb58cd20cb here on James Bridle: Machine Learning in Practice]
*[http://cloudindx.com/ Cloud index] by James Bridle | Read his interview [https://medium.com/intersections-arts-and-digital-culture-in-the-uk/james-bridle-machine-learning-in-practice-d7cb58cd20cb here on James Bridle: Machine Learning in Practice]

Revision as of 15:51, 9 August 2017

Introduction to Machine Learning

Cultural matters with Machine Learning

Technical explanation on Machine Learning

Examples with source code

[Text related]

  • Chinese receipt OCR using Tensorflow | SpikeFlow (Blog | Github)
  • Recurrentjs by Andrej Karpathy, mainly for text training. "Sentences are input data and the networks are trained to predict the next character in a sentence."
  • Re-appropriation of Recurrentjs by UCL Creative Hub

[Image related]

Projects

[Text related]

[Artworks]

Learning resource

Experiments/Tests

  • Running spam data with RecurrentJS in a local browser (Winnie)
Running spam data with RecurrentJS
  • Running a jpg file with ConvNetJS in a local browser (Winnie)
Learning a jpg file with ConvNetJS
  • Running a PNG file with Synaptic.js in a local browser (Winnie)
Learning a png file with Synaptic