The autoencoder of the target takes video frames of the target, and encodes the facial features into numerical values at the bottleneck layer. Then, those values are fed to the decoder layers of ...

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, ... a 2D graph (if ...