SimpleNode


NameSimpleNode JSON
Version 0.32 PyPI version JSON
download
home_pagehttps://github.com/Rkaid0/SimpleNode
SummaryPackage for working with Neural Networks for small projects
upload_time2023-12-16 21:11:11
maintainer
docs_urlNone
authorArtyom Yesayan
requires_python
licenseMIT
keywords neuralnetwork gradientdescent ai
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # SimpleNode

SimpleNode is a small package for working with Neural Networks in python

## Features

- Easily create a Neural Network
- Create Labled Data
- Train the Neural Network using Labled Data
- Save trained models
- Load previously saved models
- Make predictions with new inputs

## Example

```
from NeuralNetwork import NeuralNetwork

// Sample XOR dataset
x = [[0, 0], [0, 1], [1, 0], [1, 1]]
y = [[0, 1], [1, 0], [1, 0], [0, 1]]

Network = NeuralNetwork([2, 3, 2])

// Params: trainDataX, trainDataY, epochs, reportFreq
Network.Learn(x, y, 10, 1)

// Save Network
Network.SaveNetwork("MyNetwork.csv")

// Predict
print( Network.Predict([1, 0]) )
```

Created by Artyom Yesayan

            

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