Note: These are not in alphabetical order. They are presented in an order that seems logical. If the list gets too long, I will put them in alphabetical order.
A system of highly interconnected processing units called nodes, neurodes, or neurons. Neural networks are often called neural nets.
A simple processing unit that is the basis for all neural networks. The word 'neuron' generally refers to a processing element in a biological system, while the words 'node' or 'neurode' generally refer to the processing units in an artificial neural network
A neural network in a biological system such as the human brain or the brain of any other animal.
A neural network implemented artificially, in a computer or some other hardware, often trying to imitate a particular biological neural network
Data entering or exiting a node
The signal leaving a particular node
A link between any two nodes. In an artificial neural network, every connection has a weight associated with it. Connections in artificial neural networks are commonly referred to by the wieght along the connection.
A factor by which you scale (multiply) any signal crossing the connection with a weight associated with it.
A collection of nodes that all recieve the same inputs, and have no connections to one another. Many popular neural networks, like the back propagation network arrange its nodes in layers. A neural network that arranges its nodes this way, always have an input and an output layer, although many times the input layer is not considered a layer.
A layer from which signals from the outside world are recieved
A layer from which signals from an artifiical neural network are delivered to the outside world
A layer beteween input and output layers. Hidden layers have no inputs or outputs beyond the neural network.
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