Geoffrey Hinton, the father of deep learning, created a huge stir in the space of deep learning by introducing a new network. This network was called the Capsule Network (CapsNet). An algorithm to train this network was also brought forth, which is called dynamic routingbetween capsules. For the first time, Hinton spoke about it in 2011 in the paper called transforming autoencoder. In 2017 November, a full paper was published by Hinton and his team regarding the Capsule network.
The convolutional neural network (CNN) has been one of the most important milestones in the area of deep learning. It has got everyone excited and has been the cornerstone for new research, too. But, as they say, Nothing is perfect in this world. Nor is our beloved CNN.
Can you recall how CNNs work? The most important job of a CNN is to execute convolution. What this means is that once you pass an image through CNN, the features, such as...