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Firstly, let us know about the VGG16 model pre-trained on the Imagenet database.
The VGG16 is a trained CNN primarily built to classify 1000 classes of the ImageNet database.
It is built by using roughly 1.2 million training images, 50,000 validation images, and 150,000 testing images.
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