👉 Bandboxical is a concept in machine learning and computer vision that refers to a type of convolutional neural network architecture. It was introduced by the team at Google's DeepMind Research in 2016, which aims to reduce computational complexity while maintaining high accuracy through the use of specialized layers for feature extraction. The term "bandboxical" comes from the fact that it is composed of two boxes with overlapping areas, creating a flexible and efficient architecture. The architecture consists of several layers,