Topic: xceptionnet Goto Github
Some thing interesting about xceptionnet
Some thing interesting about xceptionnet
xceptionnet,The dataset has a collection of about 15000+ labeled images belonging to 67 categories. I am selecting only below 10 categories ⚰ airport_inside, auditorium, bakery, bathroom, bookstore, casino, church_inside, grocerystore, operating_room, warehouse Objective is to create a model that will able to classify images into these 10 categories.
User: anikch
xceptionnet,Official code for the paper "Adversarial Magnification to Deceive Deepfake Detection through Super Resolution"
User: davide-coccomini
xceptionnet,Deep learning Papers Implementation using Tensorflow-keras
User: greatsharma
xceptionnet,The aim of this project is to implement/use pretrained popular architectures such as VGG16, VGG19, ResNet, AlexNet etc.
User: pradnya1208
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