项目作者: Leisure-Codes

项目描述 :
A Shallow Neural Network Using IRIS Dataset for Classifying Species.
高级语言: Jupyter Notebook
项目地址: git://github.com/Leisure-Codes/Shallow-Neural-Network.git
创建时间: 2021-05-05T13:17:48Z
项目社区:https://github.com/Leisure-Codes/Shallow-Neural-Network

开源协议:

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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

  1. Python 3.5, Numpy & Sklearn

How it works (Simple Neural Network) :-

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

Warning!

  1. 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.