$7-$ Neural networks always overperforms machine learning methods

True

False

$8-$ in Neural Networks why use an activation function to:

a$.$ Limit the output of the network with in a certain range

b$.$ All of the above

c$.$ Solve the local minima problem

d$.$ Activate the output of the neurons

$9-$ The use of nonlinear activation functions in the hidden layer doesn't increasing learning capacity.

True

False

$10-$ Gradient descent is not as important parameter as the activation function during of neural network parameter learning

True

False

$11-$ the role to the hidden layers

a$.$ To limit the output of the neurons between a certain range

b$.$ non of the above

c$.$ To learn features lime corners

d$.$ Speed up the learning process

e$.$ All of the obove