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Repository for a neural network model, integral to the SEPHSbiome project. It includes a Jupyter notebook detailing the model’s build, training, and evaluation, serving as a foundation for a Rust-based Genetic Algorithm module.

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Neural Network Model for SEPHSbiome Project

Sm2

This repository contains the neural network model developed for the SEPHSbiome project, which is part of a Rust-based Genetic Algorithm module. SephsBIOME

All updates here must be relayed back to the SephMV Repository

Repository Contents

  • .github: Configuration files for GitHub workflows and actions.
  • LICENSE: The license under which this project is released.
  • README.md: This file, which provides an overview of the project.
  • SephMnotebook.ipynb: Jupyter notebook with the neural network code.
  • requirements.txt: Required Python packages for running the notebook.

Getting Started

To get started with this neural network model:

  1. Clone this repository:
git clone https://github.com/LoQiseaking69/SM2.git
  1. Install the necessary dependencies:
pip install -r requirements.txt
  1. Run the Jupyter notebook:
jupyter notebook SephMnotebook.ipynb

Model Details

The notebook SephMnotebook.ipynb includes:

  • The architecture and layers of the neural network.
  • The training and evaluation process of the model.

For more details, refer to the comments and documentation within the notebook itself.

License

This project is open-source and available under the license found in the LICENSE file.

About

Repository for a neural network model, integral to the SEPHSbiome project. It includes a Jupyter notebook detailing the model’s build, training, and evaluation, serving as a foundation for a Rust-based Genetic Algorithm module.

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