# PyConvNet

**Repository Path**: caorr1980/PyConvNet

## Basic Information

- **Project Name**: PyConvNet
- **Description**: Convolutional Neural Network for python users
- **Primary Language**: C++
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-11-25
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PyConvNet: CNN for Python
**PyConvNet** is a python implementation of convolutional neural network.

To train LeNet on MNIST dataset, just do as follow(you may need some python package such as numpy matplotlib):

1. cd python
2. python mnist_demo.py

A C++ version ConNet is also available now. It is more faster than the Python version. To try the C++ implemention, you will need Openblas and boost installed, and then do as follow:

1. sh build.sh
2. cd experiment/
3. run mnist_demo.sh

Then the script will download the mnist dataset and train the lenet.

This is a brief CNN tutorial (from [Jianxin Wu](http://cs.nju.edu.cn/wujx/)'s homepage):

http://cs.nju.edu.cn/_upload/tpl/00/ed/237/template237/paper/CNN.pdf