An autoencoder learns to predict its input. Therefore, the autoencoder input and output both have 65 values -- 64 pixel grayscale values (0 to 16) plus a label (0 to 9). Notice that the demo program ...

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

The architecture of Stable Audio consists of a variational autoencoder (VAE), a text encoder ... the user to specify the overall length of the output audio during inference, providing greater ...