Difference between revisions of "Machine Learning Experiments"
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==Introduction to Machine Learning== | ==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 | ||
*[https://www.youtube.com/watch?v=nAHcrz5hxc4 ConvNetJS: Deep Learning in the Browser] [Video] by Christoph Körner | |||
*[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. | ||
* [http://blog.otoro.net/2017/01/01/recurrent-neural-network-artist/ Recurrent Neural Network Tutorial for Artists - with handwriting generation demo in p5.js] | * [http://blog.otoro.net/2017/01/01/recurrent-neural-network-artist/ Recurrent Neural Network Tutorial for Artists - with handwriting generation demo in p5.js] | ||
Revision as of 17:06, 20 July 2017
Introduction to Machine Learning
- A Return to Machine Learning [Video] by Kyle McDonald
- ConvNetJS: Deep Learning in the Browser [Video] by Christoph Körner
- 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 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]
- ConvNetJS Library by Andrej Karpathy
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)
- Running a jpg file with ConvNetJS on a local browser (Winnie)
