CNTK Examples: Image/Classification/AlexNet

BrainScript

AlexNet_ImageNet.cntk

Our AlexNet model is a slight variation of the Caffe implementation of AlexNet (https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet). We removed model parallelism since nowadays most modern GPUs can hold the model in memory. Our model's accuracy is about 59.9% for top-1 category and 82.2% for top-5 categories, using just the center crop. In comparison, the BLVC AlexNet accuracy is 57.1% for top-1 category and 80.2% for top-5 categories. You may achieve our accuracy numbers by launching the command:

cntk configFile=AlexNet_ImageNet.cntk

We will post the pre-trained model shortly. Please check back this page in a few weeks.