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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Differentiate between tf.variable and tf.placeholder.

What are the variables in tensorflow?

Explain tensorflow serving?

What do you understand by deep speech?

What are the components used for deploying a lite model file in tensorflow?

What are the differences between tensorflow and pytorch?

List some products that are built using tensorflow.

Explain tensorboard?

What is the main operation in tensorflow?

How many types of tensors are there?

Explain few options to load data into tensorflow.

What is more important to you between the performance and accuracy of a model, in machine learning based on tensorflow?

What are the three working components of tensorflow architecture?

List a few limitations of tensorflow.

What do you know about audio dashboard?

Un-Answered Questions { AI Frameworks Libraries }

How much ram do I need for tensorflow?

Can you implement Chatbot using Tensorflow ? If yes/ How you can do that ?

Explain the features of eager execution?

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

What are the advantages of tensorflow?

What is tensorflow mobile?

What is transfer learning ?

What do you know about distribution dashboard in tensorflow?

What are High Level APIs in tensorflow ?

How k-means clustering is different from knn?

What are pre-trained models available in Tensorflow ?

Where can you run a Tensorflow?

What do you understand by text dashboard?

What are the advantages of using Tensorflow?

Does rtx 2070 support freesync?

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