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Deep Learning
Gated Recurrent Units

Gated Recurrent Units

[ɡeɪtɪd rɪˈkʌrənt ˈjuːnɪts]
Deep Learning
Last updated: December 9, 2024

Definition

A simplified version of LSTM networks that combines the forget and input gates into a single update gate

Detailed Explanation

GRUs are designed to solve the vanishing gradient problem like LSTMs but with a simpler architecture. They use update and reset gates to control information flow making them computationally more efficient while maintaining good performance.

Use Cases

Text generation sentiment analysis machine translation sequence prediction

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