Perceptron

3 videos across 2 channels

A foundational unit in neural networks, the perceptron is a simple binary classifier that learns by adjusting weighted inputs through a basic training loop. The videos trace its lineage from early models to today’s deep learning era, highlighting how its limitations spurred the shift to multi-layer networks, non-linear activations, and more powerful architectures. Together, they show how this humble idea evolved into the core concepts driving modern AI—from gradient descent in training to the rise of CNNs, RNNs, and transformers.