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Deep learning Papers Implementation using Tensorflow-keras
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.
Official code for the paper "Adversarial Magnification to Deceive Deepfake Detection through Super Resolution"
The aim of this project is to implement/use pretrained popular architectures such as VGG16, VGG19, ResNet, AlexNet etc.