A multilayer feedforward network consists of a set of neurons that Eire
logically arranged into two or more layers. There is an input layer and
an output layer, each containing at least one neuron. Neurons in the
input layer are hypothetical in that they do not themselves have
inputs, and they do no processing of any sort. Their activation
(output) is defined by the network input. There are usually one or
more "hidden" layers sandwiched between the input and output layers.
The term "feedforward" means that information flows in one direction
only. The inputs to neurons in each layer come exclusively from the
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