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Describe the structure of Artificial Neural Networks?
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The structure of Artificial Neuron Networks (ANN) consists of:

1.    A set of nodes (artificial neurons), analogous to biological neurons in the human brain, organized in layers.

2.    A set of weights representing the connections between each neural network layer and the layer beneath it.

3.    A set of biases, with one assigned for each node.

4.    An activation function that transforms the output of each node in a layer
by Diamond (39,212 points)

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