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AI Neural Networks Interview Questions
Questions Answers Views Company eMail

How artificial neural networks can be applied in future?

1142

What learning rate should be used for backprop?

1290

List some commercial practical applications of artificial neural networks?

1268

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

1342

What is backprop?

1097

How are artificial neural networks different from normal computers?

1440

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

1081

How artificial neurons learns?

1131

How to avoid overflow in the logistic function?

1166

What are the disadvantages of artificial neural networks?

1292

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

1029

Explain neural networks?

1218

What is artificial intelligence neural networks?

1086

What are artificial neural networks?

1203

Describe the structure of artificial neural networks?

1047


Post New AI Neural Networks Questions

Un-Answered Questions { AI Neural Networks }

What are neural networks? What are the types of neural networks?

1249


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

1208


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

1298


How does ill-conditioning affect nn training?

1300


How neural networks became a universal function approximators?

1160


What is Pooling in CNN and how does it work?

1311


What can you do with an nn and what not?

1096


What is the difference between a Feedforward Neural Network and Recurrent Neural Network?

1387


How to avoid overflow in the logistic function?

1166


How are nns related to statistical methods?

1424


How many kinds of nns exist?

1251


What are cases and variables?

1232


How many kinds of kohonen networks exist?

1264


What is a Neural Network?

1347


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

1342