Perceptron is a section of machine learning which is used to understand the concept of binary classifiers. It is a part of the neural grid system. In fact, it can be said that perceptron and neural networks are interconnected. Perceptron forms the basic foundation of the neural network which is the part of Deep Learning. It is viewed as building blocks within a single layer of the neural network. Perceptron consists of four different mathematical parts – First is input value or one input layer Second, the net sum Third, weight and bias Fourth, Activation function A neural network which is made up of perceptron can be defined as a…
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