Algoliterary Encounters: Difference between revisions
From Algolit
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* posters of matrices | * posters of matrices | ||
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* bag-of-words: physical book vector exercise (with multiple books or with one book) | * bag-of-words: physical book vector exercise (with multiple books or with one book) | ||
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* [[word embeddings]] one-hot-vector script | * [[word embeddings]] one-hot-vector script | ||
| − | + | * [[word2vec_basic.py]] - inspected word2vec script | |
| − | * [[word2vec_basic.py]] - | + | * [[talking_about_machine_learning]] - exploring the vocabulary of machine learning textbooks in 7 stages with word2vec |
===== layers, nodes, weights ===== | ===== layers, nodes, weights ===== | ||
Revision as of 17:25, 5 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)
- word embeddings one-hot-vector script
- word2vec_basic.py - inspected word2vec script
- talking_about_machine_learning - exploring the vocabulary of machine learning textbooks in 7 stages with word2vec
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