# Convolutional-Neural-Network

**Repository Path**: hj_0746/Convolutional-Neural-Network

## Basic Information

- **Project Name**: Convolutional-Neural-Network
- **Description**: This is a matlab implementation of CNN on MNIST
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-12-22
- **Last Updated**: 2020-12-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Convolutional-Neural-Network
This is a matlab implementation of CNN on MNIST

It can have as many layers as you want, an example of setting structure of a neural network is as below:


cnn.layers = {

    struct('type', 'c', 'numFilters', 6, 'filterDim', 5) 

    struct('type', 'p', 'poolDim', 2) 

    struct('type', 'c', 'numFilters', 8, 'filterDim', 5) 

    struct('type', 'p', 'poolDim', 2) %subsampling layer

};


The above code sets up  a two-layer convolutional neural network.

To try the demo, just run Example.m.