An Artificial Neural Network (ANN) is best described as?

An Artificial Neural Network (ANN) is best described as?

• A. A single linear model with no hidden layers.
• B. An artificial network of input, hidden, and output layers that perform algorithmic analysis of a dataset.
• C. A network specialized for cryptographic hash functions.
• D. A cluster of servers running static pages.

Answer: (B)

Artificial Neural Networks process data through layers of interconnected units, with an input layer receiving data, one or more hidden layers transforming it through weighted connections and nonlinear activations, and an output layer producing the result. This layered, data-driven structure lets the network learn complex patterns by adjusting weights during training. The description that mentions input, hidden, and output layers and that the network performs algorithmic analysis of a dataset fits this idea perfectly, capturing both the architecture and the learning aspect. The other descriptions don’t fit: a single linear model has no hidden layers and can’t model nonlinear relationships; cryptographic hash functions are a different area of computation; and a cluster of servers serving static pages describes infrastructure rather than a learning model.

Artificial Neural Networks process data through layers of interconnected units, with an input layer receiving data, one or more hidden layers transforming it through weighted connections and nonlinear activations, and an output layer producing the result. This layered, data-driven structure lets the network learn complex patterns by adjusting weights during training.

The description that mentions input, hidden, and output layers and that the network performs algorithmic analysis of a dataset fits this idea perfectly, capturing both the architecture and the learning aspect.

The other descriptions don’t fit: a single linear model has no hidden layers and can’t model nonlinear relationships; cryptographic hash functions are a different area of computation; and a cluster of servers serving static pages describes infrastructure rather than a learning model.