Which function will produce the desired output?

A Machine Learning Specialist is building a convolutional neural network (CNN) that will classify 10 types of animals. The Specialist has built a series of layers in a neural network that will take an input image of an animal, pass it through a series of convolutional and pooling layers, and then finally pass it through a dense and fully connected layer with 10 nodes. The Specialist would like to get an output from the neural network that is a probability distribution of how likely it is that the input image belongs to each of the 10 classes.

Which function will produce the desired output?
A . Dropout
B . Smooth L1 loss
C . Softmax
D . Rectified linear units (ReLU)

Answer: D

Explanation:

Reference: https://towardsdatascience.com/building-a-convolutional-neural-network-cnn-in-keras329fbbadc5f5