MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

NEURAL NETWORK

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
What futuristic actions can not be performed by neural networks?
A
Pattern Recognition
B
Function Approximation
C
Pattern Classification
D
Facial Recognition
Explanation: 

Detailed explanation-1: -Neural Networks cannot give exact solutions to a problem. For example, a neural network would have a really hard time implementing a simple multiplication. First, because we would demand exact values from it. And second, because as we said before, they are capable of approximating functions in a given range.

Detailed explanation-2: -The option that’s not a feature of a neural network is C. Neural networks can analyze linear relationships only. Neutral networks simply refer to the collection of algorithms that have been patterned to analyze patterns. It should be noted that neural networks cannot analyze linear relationships only.

Detailed explanation-3: -Which of the following is not the promise of artificial neural network? Explanation: The artificial Neural Network (ANN) cannot explain result.

There is 1 question to complete.