👉 Mesosigmoid is a type of neural network architecture that was developed by researchers at Facebook. It is named after its creator, Andrew Ng, and it is designed to be similar to the sigmoid function but with more flexibility in how weights are added together. In terms of architecture, a mesosigmoid network consists of multiple layers where each layer represents a step in the training process. The input to each layer is represented by a weight vector that describes the strength of the connection between neurons in the previous layer
