Difference between revisions of "Machine Learning Experiments"

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==References==
==Introduction to Machine Learning==
*[https://www.youtube.com/watch?v=POrPIABj2MI A Return to Machine Learning] [Video] by Kyle McDonald
*[https://www.youtube.com/watch?v=POrPIABj2MI A Return to Machine Learning] [Video] by Kyle McDonald
*[http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ A visual introduction to machine learning] by r2d3.
*[http://www.r2d3.us/visual-intro-to-machine-learning-part-1/ A visual introduction to machine learning] by r2d3.
==References==
*[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] 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] by Maya Indira Ganesh



Revision as of 20:22, 11 July 2017

Introduction to Machine Learning

References

Examples with source code

[Text related]

  • Chinese receipt OCR using Tensorflow | SpikeFlow (Blog | Github)
  • Recurrentjs by Andrej Kaparthy, 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

Projects

[Text related]

[Artworks]

Learning resource

Experiments/Tests

  • Running spam data with RecurrentJS on a local browser (Winnie)
Running spam data in RecurrentJS