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AI General Interview Questions
Questions Answers Views Company eMail

Definition of ai single agent pathfinding problems?

919

Comment on batch normalization?

847

What is the variance?

796

How would you implement a recommendation system for our company’s users?

833

What are dropouts?

847

Distinguish between strong and weak artificial intelligence?

816

What’s the difference between a generative & discriminative model?

805

What are the intermediate tensors? Do sessions have lifetime?

834

What is the agent in artificial intelligence?

902

What is a bayesian network and how does it relate to ai?

856

What are the intermediate tensors?

960

Why do we prefer lstm over rnn?

827

Give some best books to a.i?

826

What do you know about artificial intelligence? Give an example where ai is used in our regular lives?

796

What are the branches of ai1? What is artificial intelligence?

852


Post New AI General Questions

Un-Answered Questions { AI General }

Which is not commonly used programming language for artificial intelligence?

872


What's google's artificial intelligence called?

971


What are the two types of artificial intelligence?

898


What is alternate, artificial, compound and natural key?

1163


Where was artificial intelligence invented?

858


Explain the difference between type ii with examples.

793


What is the importance of gradient checking?

924


What is the philosophy behind artificial intelligence?

901


Suppose 2 batsmen each on 94. 7 Runs to win in 3 balls. Both make unbeaten 100. How?

928


Comment on batch normalization?

847


What are best graduate schools for artificial intelligence?

879


Give some disadvantages of artificial intelligence?

851


What is future of artificial intelligence?

877


What is a bayesian network and how does it relate to ai?

856


What is the way of dealing with “exploding gradient” problem in rnns?answer: gradient clipping, the gradient is set to the threshold. Gradient clipping will chop the gradients or restricts them to a threshold value to prevent the gradients from getting too large.

856