Autoencoders - Ep. 10 (Deep Learning SIMPLIFIED)

Autoencoders are a family of neural nets that are well suited for unsupervised learning, a method for detecting inherent patterns in a data set. These nets can also be used to label the resulting patterns. Deep Learning TV on Facebook: Twitter: Essentially, autoencoders reconstruct a data set and, in the process, figure out its inherent structure and extract its important features. An RBM is a type of autoencoder that we have pre