Perceptron is the most basic and primary implementation of a biological neuron in machine intelligence. Moreover the concept of perceptron can be leveraged to build more complex neural networks which we will see later. These are used mainly for supervised learning and can be modified to work with unsupervised learning also. The implementation of perceptron is inspired from the actual neuron which can be seen below.
I know that there are plenty of Machine learning algorithms out there for prediction and classification tasks, but why then we need Neural networks even? Continue reading