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 is rank, shape, and type in tensorflow ?

What are the products built using Tensorflow?

Where can you run a Tensorflow?

How many layers in RNN ? How they mean ?

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

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

What is Image recognition ? How can you do in tensorflow ?

What are High Level APIs in tensorflow ?

What is Pipeline in tensorflow ?

How many types of Linear models in Tensorflow ?

What is session in tensorflow ?

How can you implement speech recognition in Tensorflow ?

What is Sequence modeling ? When we can use this ?

What is a pooling layer?

How can you implement LSTM network in tensorflow ?

Un-Answered Questions { AI Frameworks Libraries }

What is Image Captioning ? How can you do in tensorflow ?

What are tensorflow servables? Also, explain tensorflow serving.

What is the tfdbg tensorflow debugging?

What is Image segmentation ? How can you do in tensorflow ?

What is tensorboard ?

What is Neural Network ?

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

Why you have to choose tensorflow rather than other deep learning frameworks ?

What are the use cases of tensorflow?

How does tensorflow use python api?

What do you know about tensors?

What is tensorflow mobile?

What is important in machine learning based tensorflow, performance or accuracy?

Explain the apis outside tensorflow project?

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

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