GoogleNet for Image Classification
rajasekharponakala opened this issue · 2 comments
Hi Pei,
There is an image classification task for identifying an image consisting of a Bus, Car, Van, Truck. This is implemented by using GoogleNet (Caffe) model. Now, in order to fool the model by identifying a Bus as Car, how can we use DeepXplore for this particular type of classification.
Thanks.
Hi @rajasekharponakala, sorry for the late reply. If there are Keras model for GoogleNet, I believe you can import the GoogleNet model in gen_diff.py like what is done for other models: "from keras.applications.vgg19 import VGG19". Then use it the same way as other models, e.g., replace VGG19 with the GoogleNet. There should be nothing else significant to change.
No problem!. Thanks for the reply. I'll try doing that.