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Inception (deep learning architecture)
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Inception is a family of convolutional neural network (CNN) for computer vision, introduced by researchers at Google in 2014 as GoogLeNet. The series was historically important as an early CNN that separates the stem, body, and head (prediction), an architectural design that persists in all modern CNN.