1.1 Perceptron and Multi-Layer Perceptron (MLP)
1.1.1 The Perceptron
The Perceptron is the simplest form of a neural network, pioneered by Frank Rosenblatt in the late 1950s. This groundbreaking development marked a significant milestone in the field of artificial intelligence. At its core, the perceptron functions as a linear classifier, designed to categorize input data into two distinct classes by establishing a decision boundary.
The perceptron's architecture is elegantly simple, consisting of a single layer of artificial neurons. Each neuron in this layer receives input signals, processes them through a weighted sum, and produces an output based on an activation function. This straightforward structure allows the perceptron to effectively handle ...