Neural Network
Interconnected layers of nodes ('neurons') loosely modeled on the brain that learn weighted patterns.
A neural network is a computational model built from layers of interconnected nodes that transform inputs into outputs by adjusting numerical weights through training. Data flows from an input layer through one or more hidden layers to an output layer; the number and depth of those hidden layers determine the network’s capacity to learn complex patterns. The key exam distinction is between a shallow network (one hidden layer) and a deep neural network (many hidden layers) — deep learning is simply this increased depth applied at scale. Amazon SageMaker is the primary AWS service for training custom neural networks, while Amazon Bedrock exposes pre-trained foundation models that are themselves large neural networks, without requiring users to train the underlying architecture.
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