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Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.
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Activation function vs Squashing function
This may seem like a very simple and obvious question, but I haven't actually been able to find a direct answer.
Today, in a video explaining deep neural networks, I came across the term Squashing fun …