Model Breeder

Model Breeder is a web application that allows users to visualize and train Convolutional Neural Networks (CNNs) directly in the browser using TensorFlow and Three.js. This project aims to make it easier for users to experiment with CNN models without needing to set up a complex environment.

Features

• Visualize CNN Models: Easily create and visualize the architecture of CNN models.
• Train Models in the Browser: Train your CNN models directly in the browser using TensorFlow.js.
• 3D Visualization: Utilize Three.js for an interactive 3D representation of your models.

Getting Started

Prerequisites

• Node.js
• npm

Installation

1. Clone the repository:

   git clone https://github.com/raviadi12/modelbreeder.git
   cd model-breeder

2. Install dependencies:

   npm install

Running the Application

To start the development server and run the application locally, use:

npm run dev