Introducing capsule networks
How CapsNets can overcome some shortcomings of CNNs, including requiring less training data, preserving image details, and handling ambiguity. By Aurélien Géron in O'Reilly
Capsule networks (CapsNets) are a hot new neural net architecture that may well have a profound impact on deep learning, in particular for computer vision. Wait, isn't computer vision pretty much solved already? Haven't we all seen fabulous examples of convolutional neural networks (CNNs) reaching super-human level in various computer vision tasks, such as classification, localization, object detection, semantic segmentation or instance segmentation .... "
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