Recurrent Neural Networks (e-bog) af -
Abraham, Ajith (redaktør)

Recurrent Neural Networks e-bog

436,85 DKK (inkl. moms 546,06 DKK)
The text discusses recurrent neural networks for prediction and offers new insights into the learning algorithms, architectures, and stability of recurrent neural networks. It discusses important topics including recurrent and folding networks, long short-term memory (LSTM) networks, gated recurrent unit neural networks, language modeling, neural network model, activation function, feed-forward...
E-bog 436,85 DKK
Forfattere Abraham, Ajith (redaktør)
Forlag CRC Press
Udgivet 8 august 2022
Længde 396 sider
Genrer UYQN
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781000626179
The text discusses recurrent neural networks for prediction and offers new insights into the learning algorithms, architectures, and stability of recurrent neural networks. It discusses important topics including recurrent and folding networks, long short-term memory (LSTM) networks, gated recurrent unit neural networks, language modeling, neural network model, activation function, feed-forward network, learning algorithm, neural turning machines, and approximation ability. The text discusses diverse applications in areas including air pollutant modeling and prediction, attractor discovery and chaos, ECG signal processing, and speech processing. Case studies are interspersed throughout the book for better understanding.FEATURESCovers computational analysis and understanding of natural languagesDiscusses applications of recurrent neural network in e-HealthcareProvides case studies in every chapter with respect to real-world scenariosExamines open issues with natural language, health care, multimedia (Audio/Video), transportation, stock market, and logisticsThe text is primarily written for undergraduate and graduate students, researchers, and industry professionals in the fields of electrical, electronics and communication, and computer engineering/information technology.