https://github.com/lrmulkayhee/rbm-neural-net-project
This repository focuses on implementing and experimenting with Restricted Boltzmann Machines (RBMs) for reconstructing noisy numeral images. It explores various activation functions, training methodologies, and hyperparameter optimizations to improve RBM performance.
https://github.com/lrmulkayhee/rbm-neural-net-project
activation-function-exploration contrastive-divergence leaky-relu noise-handling reconstruction-error relu sigmoid-function visualization
Last synced: about 1 year ago
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This repository focuses on implementing and experimenting with Restricted Boltzmann Machines (RBMs) for reconstructing noisy numeral images. It explores various activation functions, training methodologies, and hyperparameter optimizations to improve RBM performance.
- Host: GitHub
- URL: https://github.com/lrmulkayhee/rbm-neural-net-project
- Owner: lrmulkayhee
- License: mit
- Created: 2025-04-23T03:06:28.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-30T03:02:13.000Z (about 1 year ago)
- Last Synced: 2025-05-02T21:48:48.545Z (about 1 year ago)
- Topics: activation-function-exploration, contrastive-divergence, leaky-relu, noise-handling, reconstruction-error, relu, sigmoid-function, visualization
- Language: Python
- Homepage:
- Size: 3.17 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 1
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Metadata Files: