![]() Such algorithm But what do these machine see? A psychedelic trip apparently. ![]() ![]() By feeding it dog images, larger quantity for higher accuracy, it could be trained to spot dogs in images, tell if there aren’t any, or say it is unsure. Say you want train a machine how a dog looks like. In the past, classifying images into categories was nearly impossible but advances in cognitive science made it possible for machines to distinguish images with a high degree of accuracy. Derived from biological central nervous systems, they are used in image classification and speech recognition by feeding them large amount of input data to “train” them. Two weeks ago, Google’s research team featured in their blog a visualization tool designed to understand how neural networks work and how to replicate them artificially.Īrtificial neural networks are learning models essential in machine learning. Throw in a dog that looks like a slug and you get Google’s artificial neural network “Deep Dream”. Picture yourself on a boat in a river with tangerine trees and marmalade skies.
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