A feedforward neural network is a type of artificial neural network where connections between the nodes do not form cycles. This means that the information flows in one direction—from input nodes, through hidden nodes, and finally to output nodes. It’s the simplest type of neural network architecture, serving as a foundation for more complex networks like recurrent neural networks and LSTMs, which introduce feedback loops for handling sequential data.
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