Capsule Networks: Addressing Limitations of Convolutional Neural Networks CNNs

Convolutional Neural Networks (CNNs) have become the benchmark for computer vision tasks. However, they have several limitations, such as not effectively capturing spatial hierarchies and requiring large amounts of data. Capsule Networks (CapsNets), first introduced by Hinton et al. in 2017, provide a novel neural network architecture that aims to overcome these limitations by introducing […]

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