https://github.com/tugot17/neural-network-from-scratch
Simple neural network implemented from scratch using numpy package
https://github.com/tugot17/neural-network-from-scratch
from-scratch neural-network numpy python
Last synced: 8 months ago
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Simple neural network implemented from scratch using numpy package
- Host: GitHub
- URL: https://github.com/tugot17/neural-network-from-scratch
- Owner: tugot17
- License: mit
- Created: 2018-08-09T09:53:45.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2019-06-23T20:12:35.000Z (about 7 years ago)
- Last Synced: 2025-05-31T05:22:43.660Z (about 1 year ago)
- Topics: from-scratch, neural-network, numpy, python
- Language: Jupyter Notebook
- Homepage:
- Size: 26.3 MB
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Neural-Network-From-Scratch
In this repository you can find Neural Network written in numpy from scratch, with some theory explanation, methamatical background
and intuitions related to this subject.
## How to run:
Just run Jupyter Notebook
## Getting Started
To run it You need jupyter notebook installed or You can run it using [google colab](https://colab.research.google.com)
The main file is The main file is [Neural_net.ipynb](Neural_net.ipynb)
### Prerequisites
```
-numpy
-tqdm
-matplotlib
```
## Authors
* [tugot17](https://github.com/tugot17)
* [FeederDiver](https://github.com/FeederDiver)
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details