A model made of connected computational units with adjustable parameters that learn patterns from data. Its outputs require evaluation for the intended task; the architecture alone does not establish reliability.
A model made of connected computational units with adjustable parameters that learn patterns from data. Its outputs require evaluation for the intended task; the architecture alone does not establish reliability.