TensorFlow Interview Questions 2

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TensorFlow is a popular library that is used to design Machine Learning and Deep Learning models easily. Being open-source and powerful, it is used in a variety of domains. Since Deep Learning and Artificial Intelligence form to be among the top career paths of the 21st century, understanding TensorFlow and acing TensorFlow interviews become very important. These Top TensorFlow interview questions and answers will help you approach the questions in a structured manner and help you understand how best to answer them.

This Top TensorFlow Interview Questions blog is divided into three segments as shown below:

• Basic Tensorflow Interview Questions
• Advanced Tensorflow Interview Questions

Check out our TensorFlow Interview Questions and Answers video on YouTube designed especially for beginners:

1. What is TensorFlow?

TensorFlow is the world’s most used library for Machine Learning. Developed in 2015 by the Google Brain Team, it ensures to provide an easy-to-use low-level toolkit that can handle complex mathematical operations and learning architectures.

2. What are tensors?

Tensors are similar to arrays in programming languages, but here, they are of higher dimensions. It can be considered as a generalization of matrices that form an n-dimensional array. TensorFlow provides methods that can be used to create tensor functions and compute their derivatives easily. This is what sets tensors apart from the NumPy arrays.