The stacked sparse autoencoder is a powerful deep learning architecture composed of multiple autoencoder layers, with each layer responsible for extracting features at different levels.

Using Dropout In situations where a neural model tends to overfit, you can use a technique called dropout. For an autoencoder anomaly detection system, model overfitting is characterized by a ...

OpenAI's Jukebox AI produces music in any style from scratch -- complete with lyrics. The code, samples, and pretrained models are publicly available.

An autoencoder is a neural network that predicts its own input. The diagram in Figure 3 shows the architecture of the 65-32-8-32-65 autoencoder used in the demo program.