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CRC Press Recurrent Neural Networks: Concepts and Applications - CRC Press

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Description

Recurrent Neural Networks: Concepts and Applications is a comprehensive guide to understanding and applying RNNs in modern machine learning. This text provides essential insights into RNN learning algorithms, architectures, and stability analysis, covering critical topics such as LSTM networks, gated recurrent units, and neural Turing machines. The book explores activation functions, feed-forward networks, and approximation abilities whilst examining practical applications including air pollutant modelling and prediction, attractor discovery, and language modelling. Whether you are a student, researcher, or practitioner, this CRC Press publication equips you with both theoretical foundations and real-world knowledge needed to implement recurrent neural networks effectively across diverse domains.

Key Features

Comprehensive coverage of recurrent neural networks including LSTM and gated recurrent unit architectures for advanced sequence modelling.

Detailed exploration of RNN learning algorithms, stability analysis, and approximation ability for theoretical understanding.

Practical applications in air pollutant modelling, prediction, and attractor discovery demonstrated throughout.

In-depth chapters on language modelling, neural Turing machines, and activation functions for contemporary NLP tasks.

Published by CRC Press, providing authoritative treatment of neural network concepts for researchers and practitioners.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
08 August 2022
Listed Since
04 February 2022

Barcode

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