Difference between revisions of "Machine Learning Experiments"

From Software Studies
Jump to navigation Jump to search
Line 59: Line 59:
* [https://ml4a.github.io/ Machine Learning for Artists] by Gene Kogan and Francis Tseng
* [https://ml4a.github.io/ Machine Learning for Artists] by Gene Kogan and Francis Tseng
* [https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists/info Machine Learning for Muscians and Artists] by Rebecca Fiebrink (main), Laetitia Sonami (guest) and Baptiste Caramiaux (guest)
* [https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists/info Machine Learning for Muscians and Artists] by Rebecca Fiebrink (main), Laetitia Sonami (guest) and Baptiste Caramiaux (guest)
* [https://www.coursera.org/learn/machine-learning/ Machine Learning, taught by Andrew Ng]
* [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]

Revision as of 21:08, 18 February 2018

Introduction to Machine Learning

Cultural matters with Machine Learning

Technical explanation on Machine Learning

RNN focus

Neural Network

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." + his interview on why javascript and machine learning.
  • Re-appropriation of Recurrentjs by UCL Creative Hub

Image related

Sound related

Projects

Text related

Artworks

Exhibition

Workshop

Demo/Experimental Projects

Learning resource

Teaching Machine Learning

Experiments/Tests

  • Running spam data with RecurrentJS in a local browser (Winnie)
Running spam data with RecurrentJS
  • Running a jpg file with ConvNetJS in a local browser (Winnie)
Learning a jpg file with ConvNetJS
  • Running a PNG file with Synaptic.js in a local browser (Winnie)
Learning a png file with Synaptic
  • Running a customized neural network in a local browser (Winnie)
Learning XOR with Synaptic