Differentiable Neural Computer download for Linux

This is the Linux app named Differentiable Neural Computer whose latest release can be downloaded as dncsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

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The Differentiable Neural Computer (DNC), developed by Google DeepMind, is a neural network architecture augmented with dynamic external memory, enabling it to learn algorithms and solve complex reasoning tasks. Published in Nature in 2016 under the paper “Hybrid computing using a neural network with dynamic external memory,” the DNC combines the pattern recognition power of neural networks with a memory module that can be written to and read from in a differentiable way. This allows the model to learn how to store and retrieve information across long time horizons, much like a traditional computer. The architecture consists of modular components including an access module for managing memory operations, a controller (often an LSTM or feedforward network) for issuing read/write commands, and submodules for temporal linkage and memory allocation tracking.

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• Full TensorFlow and Sonnet implementation of the Differentiable Neural Computer
• Modular RNN-based architecture with external differentiable memory
• Access, controller, and addressing modules for flexible experimentation
• Example training script for algorithmic memory-based learning tasks
• Configurable parameters for memory size, sequence length, and optimization settings
• Supports model checkpointing and resuming for long training experiments

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This is an application that can also be fetched from https://sourceforge.net/projects/diff-neural-computer.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.