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Recurrent Neural Networks: From Simple to Gated Architectures by Fathi M. Salem

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By Fathi M. Salem. Author Fathi M. Salem. Recurrent neural networks are treated holistically from simple to gated architectures, adopting the technical machinery of adaptive non-convex optimization with dynamic constraints to leverage its systematic power in organizing the learning and training processes.

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