Next, the demo creates a 65-32-8-32-65 neural autoencoder. An autoencoder learns to predict its input. Therefore, the autoencoder input and output both have 65 values ... programming language, ...

then use the output of the lower-layer autoencoder as the input for the next layer, continuing training and progressively extracting deeper features. In this way, the model is able to gradually ...