Unsupervised learning
Physiological aspectsNeural networks (Computer science)Computer simulationLearningNeural computers
3.0
Open LibraryAbout this book
This volume, on unsupervised 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 are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.
Themes & subjects
Physiological aspectsNeural networks (Computer science)Computer simulationLearningNeural computersLearning, physiological aspects
Reviews
No reviews yet — be the first to write one from the Log screen.
Quotes
No quotes yet.
