How is hard learning problem solved?(a) using nonlinear differentiable output function for output layers(b) using nonlinear differentiable output function for hidden layers(c) using nonlinear differentiable output function for output and hidden layers(d) it cannot be solvedI got this question during an online interview.I need to ask this question from Pattern Mapping in portion Feedforward Neural Networks of Neural Networks

How is hard learning problem solved?(a) using nonlinear differentiable

1.	How is hard learning problem solved?(a) using nonlinear differentiable output function for output layers(b) using nonlinear differentiable output function for hidden layers(c) using nonlinear differentiable output function for output and hidden layers(d) it cannot be solvedI got this question during an online interview.I need to ask this question from Pattern Mapping in portion Feedforward Neural Networks of Neural Networks
Answer» Correct OPTION is (c) using NONLINEAR differentiable OUTPUT function for output and hidden LAYERS To explain I WOULD say: Hard learning problem is solved by using nonlinear differentiable output function for output and hidden layers.

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