Perceptron
After a few years of the invention of the first computational model of neuron, a psychologist named Frank Rosenblatt found out that the McCulloch-Pitts model did not have the mechanism to learn from the input data. So he invented the neural network that was built on the idea of the first computational model of neuron. Frank Rosenblatt called this model the perceptron. It is also called a single-layer feedforward neural network. We call this model a feed forward neural network because, in this neural network, data flows in only one direction--the forward direction.
Now let's understand the working of the perceptron that has incorporated the idea of having weights on the given inputs. If you provide some training set of input output ...
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