https://github.com/bp0609/mlp-performance-on-different-tasks
This repository focuses on evaluating the performance of Multilayer Perceptrons (MLPs) on various machine learning tasks and comparing them with alternative models. It includes implementations of MLPs with regularization, feature engineering techniques, and visualization tools like decision boundaries and t-SNE.
https://github.com/bp0609/mlp-performance-on-different-tasks
logistics mlp-classifier mlp-regressor mnist-classification t-sne
Last synced: 4 months ago
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This repository focuses on evaluating the performance of Multilayer Perceptrons (MLPs) on various machine learning tasks and comparing them with alternative models. It includes implementations of MLPs with regularization, feature engineering techniques, and visualization tools like decision boundaries and t-SNE.
- Host: GitHub
- URL: https://github.com/bp0609/mlp-performance-on-different-tasks
- Owner: bp0609
- Created: 2024-12-08T09:39:33.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-12-08T10:01:49.000Z (6 months ago)
- Last Synced: 2024-12-08T10:26:10.626Z (6 months ago)
- Topics: logistics, mlp-classifier, mlp-regressor, mnist-classification, t-sne
- Language: Jupyter Notebook
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0