# Assignment5_gaussian_rbm_autoencoder

**Repository Path**: haohan1997/Assignment5_gaussian_rbm_autoencoder

## Basic Information

- **Project Name**: Assignment5_gaussian_rbm_autoencoder
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-11-27
- **Last Updated**: 2021-11-27

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Assignment5_gaussian_rbm_autoencoder\
MNIST datatset\
Q2:\
It contains implementation of CNN, and experimentation with/without pooling layers, dimension of filters, depth of model. 
Experimentation with use of momentum parameter, Nesterov accelerated gradient, Adagrad, Adam optimizer.\
Q3:
It contains comparision of Gaussian RBM model, Encoder decoder model for latent representation of data. PCA and LDA is also been used.