Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...

Back propagation requires a value for a parameter called the learning rate. The effectiveness of back propagation is highly sensitive to the value of the learning rate. Rprop was developed by ...

Machine-learning algorithms find and apply patterns in data. ... To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not.