| 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 GoogLeNet (https://arxiv.org/abs/1409.4842) and its derivations for image classification. |
| Network | Deep convolutional neural networks codenamed "Inception" (GoogLeNet). |
| Training | See the details. |
| Comments | See below. |
We use the ILSVRC2012 datasets to demonstrate how to train a GoogLeNet. GoogLeNet was initially published by Researchers at Google Inc., and it is fine-tuned to have excellent classification accuracy and low computation cost. It won first place in the ILSVRC 2014 detection challenge.
ILSVRC2012 datasets are not included in the CNTK distribution. You may obtain it through http://image-net.org.
We currently offer the BN-Inception (https://arxiv.org/abs/1502.03167) and Inception V3 (https://arxiv.org/abs/1512.00567), Inception-ResNet-V1 (https://arxiv.org/abs/1602.07261) models.
Pre-trained GoogLeNet models can be found here.