Gated Recurrent Unit (GRU) (video)
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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- 0 Rating
- 0 Reviews
- 0 Students Enrolled
Courselet Content
2 components
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31 min | |
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Gated Recurrent Unit (GRU) (pdf)
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14.13 M |
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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