GoogLeNet (Inception v1)
GoogLeNet, also known as Inception v1, is a 22-layer deep convolutional neural network introduced by Google researchers in 2014 that won the classification task of the ImageNet Large Scale Visual Recognition…
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VGGNet
VGGNet is a deep convolutional neural network architecture, introduced in 2014 by Karen Simonyan and Andrew Zisserman of the Visual Geometry Group at the University of Oxford, that classifies images using a…