A feedforward neural network is a type of artificial neural network where connections between the nodes do not form cycles. This architecture allows data to flow in one direction—from input to output—making it particularly useful for tasks like pattern recognition and function approximation. Its simplicity and effectiveness have made it a foundational model in neural network research, leading to the development of more complex architectures and algorithms.
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