A feedforward neural network is a type of artificial neural network where the connections between the nodes do not form cycles. In this architecture, data moves in one direction—from input nodes, through hidden layers, to output nodes—without any feedback loops. This structure is fundamental in the development of neural networks, serving as a building block for more complex systems like convolutional neural networks.
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