Perceptron Learning Algorithm in Deep Learning
Perceptron Perceptron is a fundamental concept in deep learning and a building block in neural network introduced by Frank Rosenblatt in 1957. Structure Input: Perceptron takes multiple input values denoted as each corresponding to a feature in the input data. Weights: Each input is associated with a weight w. They represent the importance of the … Read more