Solving classic unsupervised learning problems with deep neu | Juicy Data
Solving classic unsupervised learning problems with deep neural networks
Discusses ideas from two recent papers: Learning gradient-based ICA by neurally estimating mutual information and Gradient-Based Training of Slow Feature Analysis and Spectral Embeddings
