Menu

Blog

Sep 11, 2020

The Mathematics Behind Deep Learning

Posted by in categories: mathematics, robotics/AI

Deep neural networks (DNNs) are essentially formed by having multiple connected perceptrons, where a perceptron is a single neuron. Think of an artificial neural network (ANN) as a system which contains a set of inputs that are fed along weighted paths. These inputs are then processed, and an output is…

Leave a reply