litcoderr / cheenet

Custom Made Neural Network Framework. By not using pre-made Frameworks, this is a way to actually understand Machine Learning. Free to use it and always welcome to Contribute!

Welcome to CheeNet

What is CheeNet

A Custom-made Framework of Neural Network. Anyone can use this for simple training and actually understand the fundamentals of Neural Network by observing the code.

How to Use the Library

1. Download(Clone) this repository to your project folder.
   Terminal

git clone https://github.com/litcoderr/CheeNet.git

2. Import CheeNet to your project (Make Sure all the files are in the same folder)

import CheeNet_v1

3. Configure a Neural Network

NN = CheeNet_v1.NeuralNetwork(learning_rate=0.1,epochs=10000,limit=0.1)

Hyper Parameters

• learning_rate
• epochs
• limit

4. Add training Sets

NN.add_trainingSet([[0,0],[1,0],[0,1],[1,1]],[[1,0],[0,1],[0,1],[1,0]])

5. Design the Network
   Code Example

NN.add_Layer('sigmoid',2,3)
NN.add_Layer('sigmoid',3,4)
NN.add_Layer('sigmoid',4,3)
NN.add_Layer('sigmoid',3,2)
NN.add_Layer('softmax',2,1)

6. Train the Network

NN.train()

You are Ready to play with Neural Nets!!