Difference between revisions of "Machine Learning Experiments"
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* [https://github.com/karpathy/recurrentjs 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." | * [https://github.com/karpathy/recurrentjs 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 [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] | |||
* [http://cs.stanford.edu/people/karpathy/convnetjs/ ConNetJS Library] by Andrej Kaparthy | |||
==Projects== | ==Projects== | ||
Revision as of 15:56, 20 July 2017
Introduction to Machine Learning
- A Return to Machine Learning [Video] by Kyle McDonald
- A visual introduction to machine learning by r2d3.
- Recurrent Neural Network Tutorial for Artists - with handwriting generation demo in p5.js
References
- Entanglement: Machine learning and human ethics in driver-less car crashes by Maya Indira Ganesh
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
[Image related]
- ConNetJS Library by Andrej Kaparthy
Projects
[Text related]
[Artworks]
- Cloud index by James Bridle | Read his interview here on James Bridle: Machine Learning in Practice
Learning resource
- Daniel Shiffman's Nature of Code: Neural networks| video
- Machine Learning for Artists by Gene Kogan and Francis Tseng
- Machine Learning A-Z™: Hands-On Python & R In Data Science
- Neural Network Evolution Playground with Backprop NEAT
Experiments/Tests
- Running spam data with RecurrentJS on a local browser (Winnie)
