In a feedback neural network, the output of a layer can be fed back to a previous layer. This allows the network to learn from its own mistakes and to adjust its behavior accordingly.

The feedback connections in a feedback neural network can be either direct or indirect. Direct feedback connections are connections that go directly from the output of a layer to the input of a previous layer. Indirect feedback connections are connections that go through one or more intermediate layers.

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