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I don't care about the supervised/unsupervised distinction. I'm saying they can learn features automatically (with or without supervision.)

• YeGoblynQueenne 10y ago
  Well, feature learning is unsupervised by necessity, otherwise you're not learning features, you're learning a mapping between features and labels. Deep nets used in the way you say are first trained unsupervised to extract features, then the features are used in supervised learning, to learn a mapping from those new features to labels. You can also do this "by hand" using unsupervised learning techniques like clustering, Principal Component Analysis etc: you make your own features then, and train a classifier afterwards, on the features you extracted in that way. Deep nets just sort of automate the process.