VGG Practical

VGG Convolutional Neural Networks Practical By Andrea Vedaldi and Andrew Zisserman This is an Oxford Visual Geometry Group computer vision practical, authored by Andrea Vedaldi and Andrew Zisserman (Release 2017a). Convolutional neural networks are an important class of learnable representations applicable, among others, to numerous computer vision problems. Deep CNNs, in particular, are composed

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Convolutional Neural Network