MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

NEURAL NETWORK

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Which is the best output configuration for a model tasked with classifying a person’s mood, e.g. angry, happy, sad etc. by the tone of their voice?
A
One neuron with sigmoid
B
Multiple neurons with softmax
C
One neuron with linear output
D
None of these
Explanation: 

Detailed explanation-1: -If there are more than two mutually exclusive classes (multiclass classification), then your output layer will have one node per class and a softmax activation should be used.

Detailed explanation-2: -The softmax function is often used as the last activation function of a neural network to normalize the output of a network to a probability distribution over predicted output classes, based on Luce’s choice axiom.

There is 1 question to complete.