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What is Overview of Capsule Neural Networks about?

Capsule neural networks (CapsNets) are a type of artificial neural network that can better model hierarchical relationships compared to convolutional neural networks (CNNs). CapsNets add structures called "capsules" which contain groups of neurons that encode the properties of different objects. Capsules communicate between layers using dynamic routing which involves prediction and agreement between capsules. The CapsNet architecture contains an encoder with convolutional, primary capsule and digit capsule

Author

Mag Creation

Language

EN