eBook, ePUB

Recurrent Neural Networks (eBook, ePUB)

Concepts and Applications

Redaktion: Kumar Tyagi, Amit; Abraham, Ajith
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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...

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