Titlebook: Recurrent Neural Networks; From Simple to Gated Fathi M. Salem Textbook 2022 The Editor(s) (if applicable) and The Author(s), under exclusi

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Gated RNN: The Gated Recurrent Unit (GRU) RNN case studies the comparative performance of the standard and the slim GRU RNNs. We evaluate the standard and three . GRU variants on MNIST and IMDB datasets and show that all these GRU RNN perform comparatively.

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Recurrent Neural Networks (RNN)end it to a viable architecture, referred it henceforth as the . (bRNN). It follows the architecture presentation with the traditional steps in supervised learning of the . calculations. Using the chain rule from basic calculus, it expresses the calculations into the . (BPTT). The chapter then casts

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