Neural Networks are complex . . . . . . . . with many parameters.

The correct answer is: B. nonlinear functions.

Neural networks are made up of many simple processing units called neurons. Each neuron takes in a number of inputs, applies a nonlinear function to them, and then outputs the result. The nonlinear function is what allows neural networks to learn complex patterns.

Linear functions are functions that take in a number of inputs and produce a linear combination of those inputs. This means that the output of a linear function is simply a weighted sum of the inputs. Linear functions are not very good at learning complex patterns, because they can only represent

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