Pytorch implementation of DeepMind's differentiable neural computer paper.

Last update: Nov 21, 2022

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Overview

DNC pytorch

This is a Pytorch implementation of DeepMind's Differentiable Neural Computer (DNC) architecture introduced in their recent Nature paper:

Graves, Alex, et al. "Hybrid computing using a neural network with dynamic external memory." Nature 538.7626 (2016): 471-476.

Local Environment Specification

pytorch

Anaconda 2.7

How To Run

Go to folder tasks/Copy

python train.py

Dynamic Memory Mechanisms

Acknowlegement

Mostafa-Samir's tensorflow implementation

License

MIT

Owner

Yuanpu Xie

[email protected]

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