AI Frameworks Libraries Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Frameworks Libraries Interview Questions

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How do we create tensors from python objects?

What are tensorflow servables? Also, explain tensorflow serving.

What is the lifetime of a variable?

What is embedding projector?

What do you know about tensorflow managers?

What are the sources in tensorflow?

What is a histogram dashboard?

What are the advantages of tensorflow?

Mention the name of some methods to deal with the overfitting in tensorflow.

What are the loaders of tensorflow?

When will you find overfit condition of a model in tensorflow?

What are the benefits of tensorflow over other libraries? Explain.

Can word embedding be used in tensorflow? Name two models used in word embedding?

What are some statistical distribution functions provided by tensorflow?

How can someone report a vulnerability in tensorflow?

Un-Answered Questions { AI Frameworks Libraries }

Explain how does tensorflow fit into ai and machine learning?

What do you know about tensorflow abstractions?

What do you understand by tensorflow estimators?

What is Neural Network ?

What is word embedding in tensorflow ?

Mention the name of some methods to deal with the overfitting in tensorflow.

What are variables in Tensorflow?

Can we implement regression in Tensorflow ? If Yes? What is function Name ?

What is the application of naïve bayes naïve in machine learning?

Explain the sequence utilities methods?

What is difference between deeplearning and machine learning ?

What is the difference between tensor.eval() and session.run()?

What is tensorflow mobile?

What are pre-trained models available in Tensorflow ?

Can we use tensorflow for machine leanring ?

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