Deep Polynomial Neural Networks

20 Jun 2020Grigorios ChrysosStylianos MoschoglouGiorgos BouritsasJiankang DengYannis PanagakisStefanos Zafeiriou

Deep Convolutional Neural Networks (DCNNs) are currently the method of choice both for generative, as well as for discriminative learning in computer vision and machine learning. The success of DCNNs can be attributed to the careful selection of their building blocks (e.g., residual blocks, rectifiers, sophisticated normalization schemes, to mention but a few)... (read more)

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