Working Of A Single Neuron. Table Of Contents: The Linear Unit. Example: The Linear Unit As A Model. Multiple Inputs. (1) The Linear Unit. So let’s begin with the fundamental component of a neural network: the individual neuron. As a diagram, a neuron (or unit) with one input looks like below: The input is x. Its connection to the neuron has a weight which is w. Whenever a value flows through a connection, you multiply the value by the connection’s weight. For the input, what reaches the neuron is w * x. A neural network “learns” by modifying its weights. The b is a special kind of weight we call

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