Feedforward Neural Networks

Feedforward Neural Networks are a type of artificial neural network where the information flows only in one direction, from input to output layer. The input layer receives the data, which is then processed through one or more hidden layers using activation functions. The output layer produces the final result. Feedforward Neural Networks are widely used in supervised learning tasks such as image recognition, speech recognition, and natural language processing. They are trained using backpropagation algorithm, which adjusts the weights of the connections between neurons to minimize the error between the predicted and actual output. The architecture of a feedforward neural network can vary depending on the complexity of the problem and the amount of data available for training.
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