This input-process-output mechanism is called neural network feed-forward ... For example, assuming nodes are zero-indexed starting from the top of the diagram, the weight from input node 2 to hidden ...

(For a more mathematical diagram, see the single ... is that they always push the input/output forward, never backward, as occurs in a recurrent neural network, discussed next.

Many neural networks distinguish between three layers of nodes: input, hidden, and output. The input layer has neurons that accept the raw input; the hidden layers modify that input; and the ...

"desired" output sound—as follows: the input to the neural network would be a string of three consecutive letters from a given word in the text. The desired output that the network should ...

Neural networks consist of input and output layers, as well as (in most cases) a hidden layer consisting of units that transform the input into something that the output layer can use. They are ...