I'm curious, glancing at the code I can't tell immediately, but how does the DNN trainer (Deep Neural Network) differ from traditional back propagation? Does it train layer by layer using a kind of successive autoencoder approach? (If that makes any sense..)

I'm curious whether this would perform differently than e.g. Keras, on deeper networks.