Difference between revisions of "Machine Learning Experiments"

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==Experiments/Tests==
==Experiments/Tests==
*Running spam data with RecurrentJS on a local browser (Winnie)
*Running spam data with RecurrentJS in a local browser (Winnie)
[[File:Learningspam.png|none|400px|Running spam data with RecurrentJS]]
[[File:Learningspam.png|none|400px|Running spam data with RecurrentJS]]
*Running a jpg file with ConvNetJS on a local browser (Winnie)
*Running a jpg file with ConvNetJS in a local browser (Winnie)
[[File:ML_JS_64.png|none|400px|Learning a jpg file with ConvNetJS]]
[[File:ML_JS_64.png|none|400px|Learning a jpg file with ConvNetJS]]

Revision as of 17:11, 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