Artificial Neural Network Weight Matrix

An Artificial Neural Network Weight Matrix is a matrix structure composed by all the neural network weight between two neural network layers.

• Example(s):
  • …
• Counter-Example(s):
  • a Neural Network Depth,
  • an Artificial Neural Network Input Vector,
  • an Artificial Neural Network Output Vector.
• See: Neuron Activation Function, Neural Network Connection, Neural Network Layer, Artificial Neuron, Artificial Neural Network.

---

---

References

1998

• (Wilson,1998) ⇒ Bill Wilson, (1998 - 2012). "Weight" in "The Machine Learning Dictionary".
  • QUOTE: weight: A weight, in a artificial neural network, is a parameter associated with a connection from one neuron, M, to another neuron N. It corresponds to a synapse in a biological neuron, and it determines how much notice the neuron N pays to the activation it receives from neuron N. If the weight is positive, the connection is called excitatory, while if the weight is negative, the connection is called inhibitory. See also to a neuron.

---