AI, Machine Learning, Artificial Intelligence, Deep Learning, Data Science.
autoencoders address this problem by learning to denoise the input data during training. One approach to encourage an autoencoder to learn a useful representation of data is to keep the code layer small. This forces the model to learn an intelligent representation of the data rather than simply