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 text generation ? How can you implement in Tensorflow ?

Can we use Tensorflow libraries for NLP ?

What is autograph ?

What are pre-trained models available in Tensorflow ?

How can you one hot encoding in tensorflow ?

Can you do matrix operation in tensorflow ?

What is Distributed Training in TensorFlow ?

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

Can you do segmentation in tensorflow ?

What is difference between placeholder and variable ?

What do you mean by Tensor in TensorFlow?

What are the programming elements in TensorFlow?

How useful and reliable bayes’ theorem is according to you in the machine learning context?

What are the features of eager execution?

What is mnist dataset in tensorflow?

Un-Answered Questions { AI Frameworks Libraries }

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

What is tensorflow mobile?

How can your convert numpy arrays to tensors ?

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

What difference do you find in type1 and type 2 errors?

Explain the tensorflow and its uses?

What are the tensorflow operations?

What is constant in tensorflow ?

What are High Level APIs in tensorflow ?

What is Sequence modeling ? When we can use this ?

What are the cons of tensorflow?

Can tensorflow be deployed in container software?

What are the features of eager execution?

What is scalar dashboard?

What are the apis outside tensorflow project?

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