A teacher named Saad designs a simple scoring system for grading essays with the idea of a perceptron, a building block of deep learning.
A perceptron is an artificial neuron that processes inputs, applies weights, and produces an output based on a threshold.
The limitations of perceptrons are addressed with the use of activation functions, allowing for more human-like decisions, and bias, which adjusts the decision boundary.
Perceptrons serve as the foundation for powerful neural networks in artificial intelligence applications like detecting spam emails, recognizing faces, and predicting diseases.