CNTK Examples: Image/Classification/VGG

Overview

Data:	The ILSVRC2012 dataset (http://www.image-net.org/challenges/LSVRC/2012/) for image classification.
Purpose	This folder contains examples that demonstrate how to use CNTK to define VGG network (https://arxiv.org/abs/1409.1556) for image classification.
Network	VGG.
Training	Stochastic gradient descent with momentum.
Comments	See below.

Running the example

Getting the data

We use the ILSVRC2012 datasets to demonstrate how to train the VGG model which was developed by the Visual Geometry Group in University of Oxford. It won the second place in the ILSVRC-2014 challenge. VGG has been a very popular model for its simple architect and high accuracy.

ILSVRC2012 datasets are not included in the CNTK distribution. You may obtain it through http://image-net.org.

Details

We give examples for both Python and BrainScript.

Python

BrainScript

Pre-trained Models

Pre-trained VGG models can be found here.