File:Ann dependency graph.png

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A dependency graph for an artificial neural network. The variable h, a 3-dimensional vector, depends on x, the input variable. Then g, a 2-dimensional vector variable, depends on h, and finally, f, the output variable, depends on g. In this network, the vector variables can be further decomposed in parallel units. This means that h_1, for example, is independent of h_2 given x.

Christos Dimitrakakis 2005, created with xfig.

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