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.

Language: Python - Size: 3.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

zahsa/PDF_of_Reconstruction_Error

Language: Jupyter Notebook - Size: 96.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

srinathsai/Dimensionality-Reduction

This project highlights the importance of dimensionality reduction by exploring 2 Machine learning techniques called "Principal Component Analysis" and "T-SNE".

Language: Jupyter Notebook - Size: 144 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Khamies/LSTM-Variational-AutoEncoder

A PyTorch Implementation of Generating Sentences from a Continuous Space by Bowman et al. 2015.

Language: Python - Size: 29.3 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 4

mudittiwari255/Restricted-Boltzman-Machine-Simple-Implementation

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 0