https://github.com/ikeasamoahansah/neural-networks-from-scratch
A Neural Network written in python with the Numpy module. For predicting digits using images from the MNIST dataset
https://github.com/ikeasamoahansah/neural-networks-from-scratch
Last synced: 2 months ago
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A Neural Network written in python with the Numpy module. For predicting digits using images from the MNIST dataset
- Host: GitHub
- URL: https://github.com/ikeasamoahansah/neural-networks-from-scratch
- Owner: ikeasamoahansah
- Archived: true
- Created: 2024-05-07T14:44:45.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-04T23:20:32.000Z (12 months ago)
- Last Synced: 2025-03-17T05:34:26.942Z (4 months ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 44.9 KB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Neural-Networks-from-scratchA neural network written with python and the Numpy module. For predicting digits using images from the MNIST dataset

## Getting StartedThese instructions will give you a copy of the project up and running on
your local machine for development and testing purposes. See deployment
for notes on deploying the project on a live system.
### PrerequisitesRequirements for the software and other tools to build, test and push
- Math
- Numpy Library
### Intuition##### Forward propagation
##### Backwards propagation

## Running the applicationExplain how to run the automated tests for this system
## Testing
Testing with the dataset
## Acknowledgments- Grokking Deep Learning Book