Multi-layered neural architectures that implement learning require elaborate mechanisms for symmetric backpropagation of errors that are biologically implausible. Here the authors propose a simple ...

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

It was first published in 1986 in a paper titled "Learning representations by back-propagating errors." From Wikipedia, the definition of backpropagation is: In machine learning, backpropagation is a ...

Machine learning deals with software systems capable of changing in response to training data. A prominent style of architecture is known as the neural network , a form of so-called deep learning.

The impressive and rapid development of machine learning (ML) algorithms, especially those that are based on deep neural networks, has made artificial intelligence (AI) a mandatory technology in ...

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.