https://github.com/cbhihe/nn_binary-classifier

NN-based binary classification with logistic regression loss, back-propagation with gradient descent and optional regularization
https://github.com/cbhihe/nn_binary-classifier

classifier gradient-descent logistic-regression neural-network numpy python regularization sklearn

Last synced: about 2 months ago
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NN-based binary classification with logistic regression loss, back-propagation with gradient descent and optional regularization

• Host: GitHub
• URL: https://github.com/cbhihe/nn_binary-classifier
• Owner: Cbhihe
• License: other
• Created: 2022-10-19T17:32:35.000Z (over 3 years ago)
• Default Branch: develop
• Last Pushed: 2022-10-29T16:14:58.000Z (over 3 years ago)
• Last Synced: 2025-09-04T23:52:10.820Z (10 months ago)
• Topics: classifier, gradient-descent, logistic-regression, neural-network, numpy, python, regularization, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md
  • License: License.md

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README

          
### Contents

Python code implementation of a simple binary classification:

- randomly generated data set

- hyperbolic tangent (tanh)  activation function (adequate for binary classification)

- log or cross-entropy loss

- NN - forward and back-propagation with gradient descent and optional regularization