Efficient-CapsNet: capsule network with self-attention routing
Abstract Deep convolutional neural networks, assisted by architectural Beverage Chilling Cubes design strategies, make extensive use of data augmentation techniques and layers with a high number of feature maps to embed object transformations.That is highly inefficient and for large datasets implies a massive redundancy of features detectors.Even t