👉 Mysterial is a type of neural network architecture that was proposed in 2017 by researchers from the University of Oxford. It is named after its resemblance to the mystical and spiritual aspects of many ancient texts, such as the Bible and Hinduism. The architecture consists of multiple hidden layers with different activation functions and non-linearity. The goal is to learn patterns and relationships between input features that are not directly related to each other. This allows for more complex and nuanced representations of data,
