Gated Recurrent Unit (GRU)

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Gated Recurrent Unit (GRU)

Course provides the in-depth understanding of sequence modelling using Neural Networks. It covers topics ranging from RNNs, LSTM, PRU and GRU, with detailed comparative discussion on their applications and theory.

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Courselet Content

2 components

Requirements

  • Basic knowledge of linear algebra, differentiation, multilayer perceptron, forward and backpropogation

General Overview

Description

Course provides the in-depth understanding of sequence modelling using Neural Networks. It covers topics ranging from RNNs, LSTM, PRU and GRU, with detailed comparative discussion on their applications and theory.

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Meet the instructors !

instructor
About the Instructor

MSCA PhD at ASE