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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What are tensorflow loaders?

Explain tensorflow optimizing for cpu?

Explain eager execution?

How k-means clustering is different from knn?

What are the common tensorflow operations?

What is max pooling?

What if a file is corrupted or missing in a dataset?

What is the main feature of tensorflow?

What do you know about tensorflow abstractions?

What are the api's used outside the tensorflow project?

Which client languages are supported in tensorflow?

What do you understand by tensorflow estimators?

What is scalar dashboard?

What are the different dashboards in tensorflow?

What do you understand by text dashboard?

Un-Answered Questions { AI Frameworks Libraries }

Explain eager execution?

What are tensorflow servables? Also, explain tensorflow serving.

What are some statistical distribution functions provided by tensorflow?

What do you know about tensors?

What are High Level APIs in tensorflow ?

Explain tensorflow serving?

How to Retrain an Image Classifier for New Categories ?

What is placeholders in tensorflow ?

Can we use tensorflow for machine leanring ?

Define max pooling?

What do you understand by text dashboard?

Explain tensorflow optimizing for cpu?

How can you import data in tensorflow ?

What is variables in tensorflow ?

You can do by using tf.one_hot() function?

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