Top 50 TensorFlow Interview Questions & Answers 2022

The demand for Deep Learning has grown over the years and its applications are being used in every business sector. Companies are now on the lookout for skilled professionals who can use deep learning and machine learning techniques to build models that can mimic human behavior. As per, the average salary for a deep learning engineer in the United States is $133,580 per annum. In this tutorial, you will learn the top 45 Deep Learning interview questions that are frequently asked.

TensorFlow Interview Questions and Answers | TensorFlow Interview Preparation | Intellipaat

12. What difference do you find in Type I and Type II errors?

Type I error is a false positive value. On the other side, Type II error is a false negative value. Type I error generally represents that something has happened when actually it doesn’t while Type II error is to representing the machine that nothing is wrong when actually something is not good.

Related Blog: Installing TensorFlow

4. What Is Data Normalization, and Why Do We Need It?

The process of standardizing and reforming data is called “Data Normalization.” It’s a pre-processing step to eliminate data redundancy. Often, data comes in, and you get the same information in different formats. In these cases, you should rescale values to fit into a particular range, achieving better convergence.

4. Are you familiar with a Fourier Transform?

Well, it is a mathematical concept. Basically, it is a generic method that is used for decomposing the generic functions into a superposition of other functions that are generally symmetric in nature. When it comes to finding the speeds of cycles and amplitudes, they are widely adopted in machine learning. Fourier Transformation is also used for solving some of the very complex problems of mathematics.

7. What exactly Neural Networks are? What are the types of same you are familiar with?

It is basically a connection of processing elements which can be very large or very small depending on the application it is deployed for. These elements are called neurons and generally, two types of networks can be seen in this category. They are Artificial Neural Networks and Biological Neural Networks. The use of artificial neural networks is more common and generally, they are considered for creating machines which are equally powerful to human brains.

5. What is the Boltzmann Machine?

One of the most basic Deep Learning models is a Boltzmann Machine, resembling a simplified version of the Multi-Layer Perceptron. This model features a visible input layer and a hidden layer — just a two-layer neural net that makes stochastic decisions as to whether a neuron should be on or off. Nodes are connected across layers, but no two nodes of the same layer are connected.

25. What Do You Mean by Tensor in Tensorflow?

This is another most frequently asked deep learning interview question. A tensor is a mathematical object represented as arrays of higher dimensions. These arrays of data with different dimensions and ranks fed as input to the neural network are called “Tensors.”

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