1. Feed-Forward Network Connection: This is the simplest neuron connection type in which data flow is in one direction only from Input Layer -> Hidden Layer -> Output Layer.
Re-current or Feedback Network Connection: In this data flow is in back direction too, looping occurs, like Input Layer -> Hidden Layer -> Hidden Layer -> Hidden Layer -> output Layer.
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