Machine Learning Experiments

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)

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)