What limitation occurs if the activation function used in a network were only a simple polynomial?

Answer

The entire network would only be capable of representing another polynomial function.

If the activation function is a simple polynomial, the composition of multiple layers will result only in another polynomial function, severely restricting the network's modeling capability.

What limitation occurs if the activation function used in a network were only a simple polynomial?

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Why Neural Networks Can Learn Any Function - YouTube

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