Which of the following statements about neural networks is false?

a. It can be very easy to overfit a neural network due to number of weights to be estimated and the number of ways these weights are combined.

b. A neuron’s output in a neural network is generated by applying an activation function to the weighted combination of the values from the neurons from the previous layer.

c. A neural network with no hidden layers and the identity activation function for the output layer results in a prediction model analogous to linear regression.

d. A neural network is a highly flexible predictive supervised learning method that does not require the estimation of any parameters.