The earliest neural network was developed in the 1940s, not long after the dawn of AI research. In 1943, a seminal paper called A Logical Calculus of Ideas Immanent in Nervous Activity was published, which proposed the first mathematical model of a neural network . The unit of this model is a simple formalized neuron, often referred to as a McCulloch–Pitts neuron. It is a mathematical function conceived as a model of biological neurons, a neural network. They are elementary units in an artificial neural network. An illustration of an artificial neuron can be seen from the following figure. Such an idea looks very promising indeed, as they attempted to simulate how a human brain works, but in a greatly ...
The history and rise of deep learning
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