ANN Model Generator

Simtool workflow to create ANN models for user datasets

Launch Tool

This tool version is unpublished and cannot be run. If you would like to have this version staged, you can put a request through HUB Support.

Archive Version 0.1
Published on 11 Jul 2022
Latest version: 0.2. All versions

doi:10.21981/E71S-7Z48 cite this

This tool is closed source.

Category

Tools

Published on

Abstract

This tool implementation is a nanoHUB Sim2L that allows users to submit a custom-made neural network to a GPU venue remotely with their input datasets. In this tool, the inner workings of neural network development are hidden from the user, whose only concern is preparation and clean up of the data.

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Tensorflow

Sponsored by

Network for Computational Nanotechnology (NCN)

Cite this work

Researchers should cite this work as follows:

  • Juan Carlos Verduzco Gastelum, Alejandro Strachan (2024), "ANN Model Generator," https://nanohub.org/resources/anngenerator. (DOI: 10.21981/E71S-7Z48).

    BibTex | EndNote

Tags

  1. artificial neural network (ANN)
  2. data science
  3. machine learning
  4. neural networks
  5. Sim2L
  6. tensorflow