Skip to content

Latest commit

 

History

History
19 lines (12 loc) · 721 Bytes

README.md

File metadata and controls

19 lines (12 loc) · 721 Bytes
Raw

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's homepage):

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