Answer / Vineet Kumar Rai

Both `tensor.eval()` and `session.run()` are methods used for executing operations in TensorFlow. However, they differ in scope: `tensor.eval()` is a convenience method that creates a dependency graph containing only the specified tensor(s) and runs it using an existing session; while `session.run()` builds a complete dependency graph and executes all operations within it.

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

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How to Retrain an Image Classifier for New Categories ?

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What are benefits of Tensorflow over other libraries?

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

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What is sequence-to-sequence model?

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

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How can you implement speech recognition in Tensorflow ?

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Define tft?

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What is word embedding in tensorflow ?

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What are the tensorflow operations?

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

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Explain eager execution?

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