In this installment of Victor Holman’s Sports Analytics 3 Minute Drill, Victor explains Convolutional Neural Networks.
In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep neural networks, most commonly applied to analyzing visual imagery.
Convolutional Neural Networks use a variation of multilayer perceptrons designed to require minimal preprocessing.
They are also known as shift invariant or space invariant artificial neural networks (SIANN), based on their shared-weights architecture and translation invariance characteristics.
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