update readme

examples/README.md

@@ -10,5 +10,6 @@ Only allow examples with reproducible and meaningful performancce.
 + [char-rnn for fun](char-rnn)
 + [DisturbLabel, because I don't believe the paper](DisturbLabel)
 + [DoReFa-Net, binary / low-bitwidth CNN on ImageNet](DoReFa-Net)
-+ [GoogleNet-InceptionV1 with 71% accuracy and InceptionV3 with 73.5% accuracy](Inception)
++ [GoogleNet-InceptionV1 with 71% accuracy](Inception/inception-bn.py)
++ [GoogleNet-InceptionV3 with 73.5% accuracy (same as the official code)](Inception/inceptionv3.py)
 + [ResNet for Cifar10 with similar accuracy, and for SVHN with state-of-the-art accuracy](ResNet)