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This experiment uses a convolutional autoencoder for performing principle component analysis on images of The Simpsons faces.

This time, I wanted to focus on hyper-parameter tuning. Instead of guessing hyper-parameters and then overfitting, instead I built methods for iteratively training different parameters, and then analyzing the results on validation data.