https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer
This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.
https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer
backpropagation binary-classification gradient-descent logistic-regression machine-learning neural-networks numpy python3
Last synced: 3 months ago
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This repository implements a simple neural network for binary classification of 2D planar data using Python and NumPy. It compares logistic regression with neural networks and includes code for forward/backward propagation, gradient descent, and decision boundary visualization.
- Host: GitHub
- URL: https://github.com/mohammedsaqibms/planar_data_classification_with_onehidden_layer
- Owner: MohammedSaqibMS
- Created: 2024-09-28T11:27:56.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-02-19T15:51:42.000Z (3 months ago)
- Last Synced: 2025-02-19T16:39:59.550Z (3 months ago)
- Topics: backpropagation, binary-classification, gradient-descent, logistic-regression, machine-learning, neural-networks, numpy, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 621 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0