Question: In practice, what is the most accurate description for activation functions ( such as Sigmoid, Sum, Tanh, ReLU ) used in neural networks? Group of

In practice, what is the most accurate description for activation functions (such as Sigmoid, Sum, Tanh, ReLU) used in neural networks?
Group of answer choices
They must be differentiable
They can be non-differentiable, but only for a small amount of points.
They must be non-linear to be learnable
They can be any continuous functions

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