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 ...

Deep learning defined. Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem ...

Machine learning, a field of artificial intelligence (AI), is the idea that a computer program can adapt to new data independently of human action.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Taming the algorithms Like any new technology, the rate of change in machine learning algorithms is high. “The algorithms are improving,” says Synopsys’ Lowman. “As they improve, they need more ...

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.

Resilient back propagation (Rprop), an algorithm that can be used to train a neural network, is similar to the more common (regular) back-propagation. But it has two main advantages over back ...