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CRC Press Recurrent Neural Networks: Concepts and Applications

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Description

Master the complexities of sequence modeling with Recurrent Neural Networks: Concepts and Applications from CRC Press. This technical text provides deep insights into the learning algorithms, architectures, and stability required for effective prediction tasks. It serves as a comprehensive resource for understanding how recurrent networks function and how they can be applied to solve real-world problems. Readers will explore fundamental components such as activation functions, feed-forward networks, and the approximation ability of these models. The book covers advanced architectures including Long Short-Term Memory (LSTM) networks and Gated Recurrent Unit (GRU) neural networks. By examining topics like language modeling and neural turning machines, this text helps build a strong foundation in modern AI and machine learning. Beyond theory, the book addresses practical implementations in various fields. You can learn about applying these models to air pollutant modeling and prediction, as well as attractor discovery. Whether you are studying neural network models or specific learning algorithms, this text offers the technical depth needed to navigate the field of recurrent neural networks.

Key Features

Covers essential architectures including Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural networks for advanced sequence modeling.

Provides technical depth on learning algorithms, activation functions, and the stability of recurrent neural networks for better prediction accuracy.

Explores diverse practical applications such as air pollutant modeling, prediction, and attractor discovery.

Includes detailed discussions on language modeling, neural turning machines, and the approximation ability of neural network models.

Examines the relationship between recurrent and folding networks to expand your understanding of network structures.

Product Specifications

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

Barcode

No barcode data available

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