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A Shallow Neural Network Using IRIS Dataset for Classifying Species.

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Shallow-Neural-Network

A Shallow Neural Network Using IRIS Dataset for Classifying Species.

Getting Started

Everything you need to start running up the project from build to end.

Prerequisite

Python 3.5, Numpy & Sklearn

How it works (Simple Neural Network) :-

 Step 1 :- Slicing Required Data
 
 Step 2 :-  Initializing Weights & Bias.
 
 Step 3 :- Defining Activation Function.
 
 Step 4 :- Define Forward Propogation.
 
 Step 5 :- Define Cost Function.
 
 Step 6 :- Backpropogation.
 
 Step 7 :- Updating Parameters.
 
 Step 8 :- Create & Model.

Warning!

You can either consider whole of iris dataset however, dont forget to make changes in Step 1.

Acknowledgements

Thanks to all the community members of different communities for their brilliant ideas on this project.

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