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Home / Interview Subjects / TensorFlow
WithoutBook LIVE Mock Interviews TensorFlow Related interview subjects: 14

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Know the top TensorFlow interview questions and answers for freshers and experienced candidates to prepare for job interviews.

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Know the top TensorFlow interview questions and answers for freshers and experienced candidates to prepare for job interviews.

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Freshers / Beginner level questions & answers

Ques 1

What is TensorFlow and explain its primary use?

TensorFlow is an open-source machine learning library developed by the Google Brain team. It is primarily used for building and training deep learning models.

Example:

import tensorflow as tf
print(tf.__version__)

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Ques 2

Explain tensors in TensorFlow.

Tensors are multi-dimensional arrays, the fundamental building blocks of data in TensorFlow. They represent the input and output data of a computation graph.

Example:

tensor = tf.constant([1, 2, 3])
print(tensor)

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Ques 3

Explain the concept of eager execution in TensorFlow 2.x.

Eager execution is the default mode in TensorFlow 2.x, allowing operations to be executed immediately. It simplifies debugging and provides a more intuitive interface for building models.

Example:

No explicit session or graph code is required in TensorFlow 2.x

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Ques 4

What is the Keras API, and how does it relate to TensorFlow?

Keras is a high-level neural networks API written in Python. TensorFlow provides an implementation of the Keras API as tf.keras, making it the official high-level API for building and training models in TensorFlow.

Example:

model = tf.keras.Sequential([...])

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Ques 5

What is eager execution and how is it enabled in TensorFlow?

Eager execution allows operations to be executed immediately as they are called, similar to regular Python code. It can be enabled in TensorFlow 2.x by default, or explicitly using tf.compat.v1.enable_eager_execution().

Example:

No explicit session or graph code is required in TensorFlow 2.x

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