Agent

Custom GRU Implementation

Creator:

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

PackageInstallation
torchpip install torch

Agent Code

The main implementation code for this agent

Comments & Discussion

Scroll to load comments...

Tags

PyTorch
GRU
Recurrent Neural Network
Machine Learning
Deep Learning
Neural Networks
Sequence Processing
Custom Implementation

Share

Tokenization

This item is not available for tokenization.

Loading recommendations...

Yuki

Your Marketplace Companion

Agent

Hey, I'm Yuki 👋

Ask me about specific products, customer support, or anything about the Swarms Marketplace.