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Neural Networks And Learning Machines , 3Rd Edi..,
by Haykin, Simon
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625.00
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531.25
15
The third edition of this classic book presents a comprehensive treatment of neural networks and learning machines. The book has been revised extensively to provide an up-to-date treatment of the subject.
Key Features Include :
On-line learning algorithms rooted in stochastic gradient descent; small-scale and large-scale learning problems.
Kernel methods, including support vector machines and the representer theorem.
Information-theoretic learning models, including copulas, independent components analysis (ICA), coherent ICA, and information bottleneck.
Sequential state-estimation algorithms, including Kalman and particle filters.
Recurrent neural networks trained using sequential-state estimation algorithms.
Insightful computer-oriented experiments.
Stochastic dynamic programming, including approximate and neurodynamic procedures.
ISBN - 9788120340008
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