CNTK Examples: Image/Classification/GoogLeNet/InceptionV3

Python

Getting the data

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

InceptionV3_ImageNet.py

This example is python implementation of Inception-V3 model, which is described in Rethinking the Inception Architecture for Computer Vision.

And we're using common SGD with Nesterov momentum in this implementation. Run the example from the current folder using:

python InceptionV3_ImageNet.py

For more parameter definitions, please use -h command to see the help text:

python InceptionV3_ImageNet.py -h

InceptionV3_ImageNet_Distributed.py

This example is similar to InceptionV3_ImageNet.py, but it adds distributed training support.

To run it in a distributed manner, please check here. For example, the command for distributed training on the same machine (with multiple GPUs) with Windows is:

mpiexec -n <#workers> python InceptionV3_ImageNet_Distributed.py

For more parameter definitions, please use -h command to see the help text:

python InceptionV3_ImageNet_Distributed.py -h