Difference between revisions of "Machine Learning Experiments"

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* Re-appropriation of Recurrentjs by [http://artist.ai/index.php/home/poems/ UCL Creative Hub]
* Re-appropriation of Recurrentjs by [http://artist.ai/index.php/home/poems/ UCL Creative Hub]
[Image related]
[Image related]
* [http://cs.stanford.edu/people/karpathy/convnetjs/ ConvNetJS Library] by Andrej Karpathy
* Image paint: 1/ [http://cs.stanford.edu/people/karpathy/convnetjs/ ConvNetJS Library] by Andrej Karpathy 2/ [http://caza.la/synaptic/#/paint-an-image Synaptic.js] by Synaptic


==Projects==
==Projects==

Revision as of 18:26, 20 July 2017

Introduction to Machine Learning

References

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