Books like Unsupervised learning by Terrence J. Sejnowski


This book delves into the algorithms for unsupervised learning, focusing on neural network learning methods that do not require explicit teacher guidance. The primary goal of unsupervised learning is to identify an efficient internal representation of the statistical features inherent in the input data. This approach provides valuable insights into the development of the brain's cerebral cortex and natural learning processes in humans. These techniques are particularly relevant to engineers and scientists working in areas such as computer vision and speech recognition, where efficient representations of raw input data are crucial. The book aims to provide a comprehensive understanding of these algorithms and their practical applications.
First publish date: 1999
Genre: Technology & Computing/Artificial Intelligence
Authors: Terrence J. Sejnowski
★ ★ ★ ★ ★ 3.0 (1 community ratings)

Unsupervised learning by Terrence J. Sejnowski

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