Difference between revisions of "Machine Learning Experiments"
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* [https://www.udemy.com/machinelearning/ Machine Learning A-Z™: Hands-On Python & R In Data Science] | * [https://www.udemy.com/machinelearning/ Machine Learning A-Z™: Hands-On Python & R In Data Science] | ||
* [http://blog.otoro.net/2016/05/07/backprop-neat/ Neural Network Evolution Playground with Backprop NEAT] | * [http://blog.otoro.net/2016/05/07/backprop-neat/ Neural Network Evolution Playground with Backprop NEAT] | ||
*[https://www.youtube.com/watch?v=nAHcrz5hxc4 ConvNetJS: Deep Learning in the Browser] [Video] by Christoph Körner (more technical) | * [https://www.youtube.com/watch?v=nAHcrz5hxc4 ConvNetJS: Deep Learning in the Browser] [Video] by Christoph Körner (more technical) | ||
* [http://sharedli.st/jhave2 Machine Learning resource list] by David Jhave Johnston | |||
==Experiments/Tests== | ==Experiments/Tests== | ||
Revision as of 07:32, 10 August 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
Cultural matters with Machine Learning
- Entanglement: Machine learning and human ethics in driver-less car crashes (2017) by Maya Indira Ganesh
- Biased bots: Human prejudices sneak into AI systems by Joanna Bryson
- The Temporality of Artificial Intelligence (2017) by Kathryn Hume
Technical explanation on Machine Learning
RNN focus
- The Unreasonable Effectiveness of Recurrent Neural Networks (2015) by Andrej Karpathy
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]
- Image paint: 1/ ConvNetJS Library by Andrej Karpathy 2/ Synaptic.js by Synaptic
Projects
[Text related]
- THE TEXT-GENERATING RNN DEMO by Ilya Sutskever
- Handwriting Generation Demo by Alex Graves
- Obama RNN by Samim
- RNN Bible on Twitter
[Artworks]
- Cloud index by James Bridle | Read his interview here on James Bridle: Machine Learning in Practice
- Big Data Poetry by David Jhava Johnston
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
- ConvNetJS: Deep Learning in the Browser [Video] by Christoph Körner (more technical)
- Machine Learning resource list by David Jhave Johnston
Experiments/Tests
- Running spam data with RecurrentJS in a local browser (Winnie)
- Running a jpg file with ConvNetJS in a local browser (Winnie)
- Running a PNG file with Synaptic.js in a local browser (Winnie)
