A neural network is a machine-learning model built from layers of simple computational units whose connection strengths (weights) are learned from data. Stacked
A machine-learning model built from layers of simple computational units whose connection strengths (weights) are learned from data. Stacked deep, these layers learn hierarchical representations, edges to shapes to objects, characters to syntax to meaning.
Yes. Neural networks are the substrate of modern AI: transformers, diffusion models, and every LLM are neural networks at heart, trained by adjusting billions of weights against examples.