/Neural-Architecture-Search

Final project for CSC-424. Used Keras to generate neural networks trained in a supervised fashion on the MNIST and Reuters datasets. Implemented a simple mu + lambda evolutionary strategy to perform a parameter space search. Explored hyperparameters defining both the network architecture and training procedure in order to improve performance.

Primary LanguagePythonMIT LicenseMIT

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