leg2015/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.
PythonMIT