Capsule Networks: A new and attractive AI architecture

Convolutional Neural Networks (CNN) are frequently preferred in computer vision applications because of their successful results on object recognition and classification tasks. CNNs are composed of many neurons stacked together. Computing convolutions across neurons require a lot of computation, so pooling processes are often used to reduce the size of network layers. Convolutional approaches make it possible to learn many complex features of our data with simple computations. By performing many matrix multiplications and summations on our input, we can arrive at an answer to our question.