Computational model inspired by the human brain, made up of layers of interconnected nodes (artificial neurons). It learns by adjusting the weight of the connections during training.
In AI-901 it's the conceptual foundation of deep learning. It's not tested mathematically; you just need to understand that neural networks are the architecture that makes image recognition, machine translation, and text generation possible.
Neural network is a concept that can show up on the exam. Check the full guide to see it in context.