AI Neural Networks Interview Questions
Questions Answers Views Company eMail

How artificial neural networks can be applied in future?

899

What learning rate should be used for backprop?

1010

List some commercial practical applications of artificial neural networks?

1042

What are combination, activation, error, and objective functions?

1045

What is backprop?

847

How are artificial neural networks different from normal computers?

1170

What are batch, incremental, on-line, off-line, deterministic, stochastic, adaptive, instantaneous, pattern, constructive, and sequential learning?

815

How artificial neurons learns?

868

How to avoid overflow in the logistic function?

920

What are the disadvantages of artificial neural networks?

961

What are the population, sample, training set, design set, validation set, and test set?

798

Explain neural networks?

973

What is artificial intelligence neural networks?

863

What are artificial neural networks?

931

Describe the structure of artificial neural networks?

805


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Un-Answered Questions { AI Neural Networks }

What is the role of activation functions in a Neural Network?

912


What can you do with an nn and what not?

844


What are the population, sample, training set, design set, validation set, and test set?

798


How are artificial neural networks different from normal computers?

1170


How neural networks became a universal function approximators?

908


What are cases and variables?

941


What is simple artificial neuron?

968


How many kinds of kohonen networks exist?

947


What are the different layers in CNN?

1043


What is backprop?

847


Which is the similar operation performed by the drop-out in neural network?

1039


What is Pooling in CNN and how does it work?

950


How artificial neural networks can be applied in future?

899


What is a Neural Network?

1047


List some commercial practical applications of artificial neural networks?

1042