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This FAQ provides an overview of artificial neural networks (ANNs), including their components, layers, and top architectures. ANNs are comprised of neurons with four components, and most are built using three layers: an input layer, a hidden layer, and an output layer. Five of the most common ANN architectures are Perceptron, Feedforward Neural Network (FNN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and Long Short-Term Memory (LSTM).