MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

NEURAL NETWORK

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
WHAT PROBLEMS DO ANNs NOT SOLVE?
A
GEOMETRIC PROBLEMS
B
SCIENCE PROBLEMS
C
INDUSTRY PROBLEM
D
FINANCIAL PROBLEM
Explanation: 

Detailed explanation-1: -Artificial Neural Networks(ANN) are part of supervised machine learning where we will be having input as well as corresponding output present in our dataset. Our whole aim is to figure out a way of mapping this input to the respective output. ANN can be used for solving both regression and classification problems.

Detailed explanation-2: -Visualizing the Universal Approximation Theorem This is an incredible statement. If you accept most classes of problems can be reduced to functions, this statement implies a neural network can, in theory, solve any problem.

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