Difference between revisions of "Machine Learning Experiments"

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===Text related===
===Text related===
* [https://github.com/gsurma/text_predictor text predictor] by Greg Surma (python 2.7/3.+ with tensorflow (RNN+LSTM) and his article here: [https://towardsdatascience.com/text-predictor-generating-rap-lyrics-with-recurrent-neural-networks-lstms-c3a1acbbda79 Text Predictor - Generating Rap Lyrics with Recurrent Neural Networks (LSTMs)]
* [https://github.com/gsurma/text_predictor text predictor] by Greg Surma (python 2.7/3.+ with tensorflow (RNN+LSTM) and his article here: [https://towardsdatascience.com/text-predictor-generating-rap-lyrics-with-recurrent-neural-networks-lstms-c3a1acbbda79 Text Predictor - Generating Rap Lyrics with Recurrent Neural Networks (LSTMs)]
* [https://github.com/fukuball/Tom-Chang-Deep-Lyrics Tom-Chang-Deep-Lyrics | 基於 LSTM 深度學習方法研發而成](2018) by fukuball (Python with bleach-1.5.0 html5lib-0.9999999 tensorboard-1.8.0 tensorflow-1.8.0)
* [https://github.com/fukuball/Tom-Chang-Deep-Lyrics Tom-Chang-Deep-Lyrics | 基於 LSTM 深度學習方法研發而成](2018) by 林志傑 (Python with bleach-1.5.0 html5lib-0.9999999 tensorboard-1.8.0 tensorflow-1.8.0)
* [https://colab.research.google.com/drive/1XlmtcyMdPRQC6bw2HQYb3UPtVGKqUJ0a#scrollTo=8R0T0ei52FXS Semantic similarity chatbot (with movie dialog)] by Allison Parrish
* [https://colab.research.google.com/drive/1XlmtcyMdPRQC6bw2HQYb3UPtVGKqUJ0a#scrollTo=8R0T0ei52FXS Semantic similarity chatbot (with movie dialog)] by Allison Parrish
* Chinese receipt OCR using Tensorflow | SpikeFlow ([https://deeperic.wordpress.com/2017/02/18/chinese-ocr-tensorflow/ Blog] | [https://github.com/deeperic/SpikeFlow Github])
* Chinese receipt OCR using Tensorflow | SpikeFlow ([https://deeperic.wordpress.com/2017/02/18/chinese-ocr-tensorflow/ Blog] | [https://github.com/deeperic/SpikeFlow Github])

Revision as of 17:22, 12 November 2019

Introduction to Machine Learning

Cultural matters with Machine Learning

Technical explanation on Machine Learning

RNN/LSTM focus

Neural Network

Data Processing

Examples with source code

Mixed media (text/image)

Text related

Chinese text related

Image related

Sound related

Projects

Text related

Artworks

Examples/Performance/Speculative design

Exhibition

Workshop

Conference

Preconference Workshop] (2018)

Demo/Experimental Projects

Learning resource

Teaching Machine Learning

Experiments/Tests

  • 08/2019: Runway's image to text prediction: "a collage of photos of a man on a motorcycle"
runway3
  • 08/2019: Runway's YOLACT - computer and algorithm shift our attention to something else. A lid cannot be recognized but that's the key object in the photo (ways of human seeing) actually. May be the training data contains mostly western objects.
    runway1
    runway2
  • 08/2019: Running LSTM/tensorflow with text_predictor.py and ml5 training
training both
  • 12/2018: Try running LSTM/tensorflow training on chinese text with python (again following text predictor)
weiboscope
  • 11/2018: Try running LSTM/tensorflow training with Python (following text predictor)from my PhD thesis text
PhD thesis
  • 11/2018: Try running local ml5 + python training with English text (multiple manifestos) and generate 10000 characters text from multiple manifestos
manifestos
  • 06/2018: Try running LSTM ml5js with training simplied chinese data. Source from weiboscope 2012 week 1 deleted text
weiboscope text
  • 06/2018: Running LSTM ml5js example with my own training data
Training Process
Outcome Process
  • 2018: Running ml5.js example - Simple LSTM Generator Example on a local browser
Predicting what's the text
  • Running ml5.js example - Simple Image Classification Example on a local browser
Predicting what's the image with confidence level
  • Running spam data with RecurrentJS on a local browser
Running spam data with RecurrentJS
  • Running a customized neural network on a local browser
Learning XOR with Synaptic
  • Running a PNG file with Synaptic.js on a local browser
Learning a png file with Synaptic
  • Running a jpg file with ConvNetJS on a local browser
Learning a jpg file with ConvNetJS