The document discusses various types of deep learning networks, including feed forward neural networks, autoencoders, recurrent neural networks, convolutional neural networks, and restricted Boltzmann machines. Each type of network serves different functions and is used for specific applications in machine learning. The source of the information is from javatpoint.com.