LLM Knowledge Base


A perceptron is a fundamental building block of artificial neural networks, designed to simulate a single neuron in the human brain. It is a simple algorithm that takes multiple input signals, applies weights to each input, and then passes the weighted sum through an activation function to produce a binary output (0 or 1). Perceptrons are used for binary classification tasks and form the basis for more complex neural network architectures in the field of Generative AI and Machine Learning.