👉 The term "mentohyoid" refers to a type of neural network architecture that is often used in deep learning applications. It consists of two main components: an input layer and an output layer, where the output layer has one neuron per unit of input. The input layer receives data from the previous layers, while the output layer outputs the final result. The term "mentohyoid" was introduced by the author of a paper in 1983, which is now known as
