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AI & Machine Learning · Foundational

Neural Network (NN)

A model made of layers of interconnected artificial neurons that learn weighted transformations of input data.

Definition

A neural network passes inputs through an input layer, one or more hidden layers and an output layer. Each neuron computes a weighted sum of its inputs plus a bias and applies a nonlinear activation function. Training adjusts the weights with backpropagation and gradient descent.

Exam tip

Nonlinear activation functions are what let neural networks model complex relationships.

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