Neural network: Difference between revisions

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{{def|Neural network||n|}}An artificial neural network is a computing system vaguely inspired by the biological neural networks that constitute animal brains.
{{def|Neural network||n|}}An artificial neural network is a computing system vaguely inspired by the biological neural networks that constitute animal brains. “Vaguely inspired” in the way that ''Conan the Barbarian'' was inspired by [[Nietzsche]].


It is based on collections of nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection can transmit a signal to other neurons which then processes it and can signal neurons connected to it. The “signal” at a connection is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs. The connections are called “edges”. Neurons and edges typically have a weight that adjusts as learning proceeds.
It is based on collections of nodes called “artificial neurons”, which loosely model the neurons in a biological brain. It is very good at crunching terabytes of data to recognise dogs on the internet, and predict that, when you want to reply to a colleague’s [[LinkedIn]] [[humblebraggadocio]], “So inspired by you!” is what you really want to say.