Agent
Custom GRU Implementation
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About this agent
This file contains a custom implementation of a Gated Recurrent Unit (GRU) cell and a GRU layer using PyTorch. The GRU cell is based on the original formulation by Cho et al., 2014, and is designed to process sequences of data, returning hidden states for each time step. The implementation includes both the GRU cell and a layer that utilizes this cell to handle input sequences.
Requirements
| Package | Installation |
|---|---|
| torch | pip install torch |
Agent Code
The main implementation code for this agent
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Tags
PyTorch
GRU
Recurrent Neural Network
Machine Learning
Deep Learning
Neural Networks
Sequence Processing
Custom Implementation
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