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Algoliterary Encounters: Difference between revisions

From Algolit

(General Introduction)
(Overview of Techniques)
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* [[introduction Rule-Based]]
 
* [[introduction Rule-Based]]
 
 
* [[Oulipo Recipes]]
 
* [[Oulipo Recipes]]
 
 
* [[Textmining is]]
 
* [[Textmining is]]
  
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* [[introduction Classic Machine Learning]]
 
* [[introduction Classic Machine Learning]]
 
 
* [[i-could-have-written-that]]
 
* [[i-could-have-written-that]]
 
 
* [[The Weekly Address]]
 
* [[The Weekly Address]]
  
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* [[introduction Neural Networks]]
 
* [[introduction Neural Networks]]
 
 
* [[RCharNN]]
 
* [[RCharNN]]
  

Revision as of 13:17, 3 October 2017


Start of the Algoliterary Encounters catalog.

General Introduction

Overview of Techniques

Rule-based agents
Classic Machine Learning
Neural Networks

Elements of Neural Networks

input (datasets)
  • posters with literary works that are readable for machines and escape copyright
  • public domain dataset
text-to-numbers / vectors
  • posters of matrices
  • bag-of-words: physical book vector exercise (with multiple books or with one book)
  • poster word embeddings one-hot-vector script
layers, nodes, weights
  • backpropagation (linear algebra, influence of weight on network)
multidimensionality
  • digital interactive visualisation & printed visualisation 1 poster for 1 dimension (total could be 30 posters)
algorithms/nodes
  • softmax poster/booklet with comments on code & output
  • visualisations
  • playground.tensorflow.org javascript
output

Datasets

  • Context of Neural Networks
  • Frameworks & Existing Communities
  • Algoliterary Works by Others