Deep Learning Specialization - Coursera

1.0.0

Introduction
Neural Networks and Deep Learning
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Structuring Machine Learning Projects
Convolutional Neural Networks
Sequence Models

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Gated Recurrent Units (GRUs)

PreviousVanishing Gradient Problem in RNNs NextLong Short-Term Memory Network (LSTM)

Last updated 4 years ago

GRUs help solve the vanishing gradient problem in RNNs. They allow for long-range dependencies.

The GRU unit is shown below:

The following are the equations associated with a single GRU unit.

r stands for the reset gate and u stands for update gate.