Unsupervised Learning: Foundations of Neural Computation

(Paperback)

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This volume on neural network learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They should also be of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.

Author Bio

Geoffrey Hinton is Professor of Computer Science at the University of Toronto. Terrence J. Sejnowski holds the Francis Crick Chair at the Salk Institute for Biological Studies and is a Distinguished Professor at the University of California, San Diego. He was a member of the advisory committee for the Obama administration's BRAIN initiative and is President of the Neural Information Processing (NIPS) Foundation. He is the author of The Deep Learning Revolution (MIT Press) and other books.