AI News, Artificial Neural Networks/Feed-Forward Networks

Artificial Neural Networks/Feed-Forward Networks

In a feed-forward system PE are arranged into distinct layers with each layer receiving input from the previous layer and outputting to the next layer.

A network without all possible forward paths is known as a sparsely connected network, or a non-fully connected network.

The weights from each neuron in layer l - 1 to the neurons in layer l are arranged into a matrix wl.

If ρl is a vector of activation functions [σ1 σ2 … σn] that acts on each row of input and bl is an arbitrary offset vector (for generalization) then the total output of layer l is given as:

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