https://github.com/frederickroman/quadratic-equation-solver-neuralnet

This notebook shows how to train a neural network to solve quadratic equations where the coefficients are on [0, 1)
https://github.com/frederickroman/quadratic-equation-solver-neuralnet

equation-solver neural-network tensorflow tensorflow2

Last synced: 2 months ago
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This notebook shows how to train a neural network to solve quadratic equations where the coefficients are on [0, 1)

• Host: GitHub
• URL: https://github.com/frederickroman/quadratic-equation-solver-neuralnet
• Owner: FrederickRoman
• License: mit
• Created: 2022-04-03T23:11:39.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-04-04T00:05:59.000Z (about 4 years ago)
• Last Synced: 2025-12-19T15:57:04.763Z (6 months ago)
• Topics: equation-solver, neural-network, tensorflow, tensorflow2
• Language: Jupyter Notebook
• Homepage:
• Size: 32.2 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# quadratic-equation-solver-neuralnet

This notebook shows how to train a neural network to solve equations of the form ax2 + bx + c = 0 where 0 &leq; a, b, c < 1 

## Getting Started

The train.ipynb has the all you need to generate the synthetic training data, train and run the model. All you need to do is to meet the prerequisites. 

### Prerequisites

Python>=3.8.6

```

numpy 

tensorflow 

```

### Training

Run the jupyter notebook cells in [train.ipynb](https://github.com/FrederickRoman/quadratic-equation-solver-neuralnet/blob/main/train.ipynb).