An autoencoder is a specific type of neural network. The main disadvantage of using a neural autoencoder is that you must fine-tune the training parameters (max epochs, learning rate, batch size) and ...

The demo instantiates a 9-6-9 neural autoencoder that has tanh() hidden layer activation and identity() output layer activation. Then, training parameters are set to maxEpochs = 1000, lrnRate = 0.010, ...