Difference between revisions of "Machine Learning Experiments"
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==Experiments/Tests== | ==Experiments/Tests== | ||
[[File:Learningspam.png|400px|Running spam data in RecurrentJS]] | [[File:Learningspam.png|none|400px|Running spam data in RecurrentJS]]Running spam data in RecurrentJS | ||
Revision as of 21:52, 6 July 2017
References
Examples
- Chinese receipt OCR using Tensorflow | SpikeFlow (Blog | Github)
- Recurrentjs, mainly for text training. "Sentences are input data and the networks are trained to predict the next character in a sentence."
Learning resource
- Daniel Shiffman's Nature of Code: Neural networks| video
- Machine Learning for Artists by Gene Kogan and Francis Tseng
- Machine Learning A-Z™: Hands-On Python & R In Data Science
Experiments/Tests
Running spam data in RecurrentJS