What is this?

Deep learning is a type of artificial intelligence (AI) that is inspired by the structure and function of the brain. It uses algorithms to model complex data in a nonlinear manner, allowing it to develop meaningful understanding and generate accurate predictions. These algorithms process data both in the form of input layers and hidden layers which make up a series of neural networks. This allows deep learning systems to continuously refine their processes to adjust how they interpret and respond to data, enabling them to make decisions and predictions more accurately than traditional machine learning methods.

See also: artificial intelligence, neural network, emergence, evolutionary computing, game theory

EP75 Nick Chater: “The Mind Is Flat” 267

Currents 033: Connor Leahy on Deep Learning 222

EP 152 Gary Bengier on Hard-Science Futures 189

EP137 Ken Stanley on Neuroevolution 171

EP1 Simon DeDeo – The Evolution of Consciousness 137

Currents 026: Bill Ottman on Minds.com 109

EP16 Anaconda CTO Peter Wang on The Distributed Internet 99

Currents 036: Melanie Mitchell on Why AI is Hard 90

EP 149 Joshua Vial on Enspiral 80