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Machine Learning to help understand different classes of Cellular Automata behavior

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Classifying Cellular Automata using Machine Learning

Projects done at the Wolfram Summer School'16 and under various Wolfram Mentorship programs after that.

Previous projects: Focusing on studying cellular automata behavior and classifying them using both supervised(NN) and unsupervised learning methods.

Current Project: Studying algorithmic complexity of Neural Networks.

For other CA related projects, check out:

  1. Cellular Automata Simulator
  2. Migration Sim
  3. Random Number Generators

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Machine Learning to help understand different classes of Cellular Automata behavior

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