Neural networks learn by adjusting numeric values called
weights and thresholds. A weight specifies how strong of a connection exists
between two neurons. A threshold is a value, stored on each neuron that either
adds or subtracts from the incoming weights from other neurons. Training is
the process by which these weights and thresholds are adjusted to cause the
neural network to produce useful results.
Calais Document Category: