Difference between revisions of "Machine Learning Experiments"

From Software Studies
Jump to navigation Jump to search
Line 43: Line 43:


==Teaching Machine Learning==
==Teaching Machine Learning==
*[http://alimomeni.net/machine-learning-for-introductory-physical-computing-curricula/  
*[http://alimomeni.net/machine-learning-for-introductory-physical-computing-curricula/ Machine Learning for Introductory Physical Computing Curricula] by Ali Momeni
Machine Learning for Introductory Physical Computing Curricula] by Ali Momeni


==Experiments/Tests==
==Experiments/Tests==

Revision as of 09:48, 22 August 2017

Introduction to Machine Learning

Cultural matters with Machine Learning

Technical explanation on Machine Learning

RNN focus

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

Projects

Text related

Artworks

Exhibition

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