If you have enough hidden layers, you can learn a non-linear function with a linear activations.
Added by Angela A.
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The statement mentions "hidden layers," which are layers in a neural network that are not visible in the input or output. It also mentions "non-linear function" and "linear activations," which refer to the type of functions used in the neurons of a neural network. Show more…
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