Deep Learning, Autoencoder, Python Programming, Keras, Technology.
input, is thus (150, 1). The batch size is 150. This number seemed to work well, offering a nice balance between loss value and prediction time. The number of epochs is fairly low, but pragmatic: the autoencoder did not improve substantially anymore after this number. We use 30% of the total data,