Feedforward Neural Network

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Feedforward neural networks have an input layer, zero or more hidden layers, and an output layer. Data moves forward without loops. Neurons are connected with weights that are adjusted to minimize error. Activation functions introduce non-linearity. Networks are trained with backpropagation and optimization techniques. Commonly used for regression and classification tasks.