Neural Networks Interview Questions – Set 1

neural networks interview questions

This page represents practice test consisting of objective questions on neural networks. This test can prove to be useful for interviews as well. These questions can prove to be useful for machine learning interns / freshers / beginners.

These questions are related with some of the following topics:

  • Introduction to neural networks
  • Perceptron / Sigmoid neuron
  • Types of neural networks
  • Cost function for neural networks

Practice Test on Neural Networks

A perceptron can take _______ binary inputs and produces ________ binary outputs?

Correct! Wrong!

Which of the following type of neurons can take any kind of inputs and not just binary inputs?

Correct! Wrong!

Which of the following is true for a perceptron?

Correct! Wrong!

In case of perceptrons, which of the following needs to be changed in order to classify inputs in different classes?

Correct! Wrong!

Which of the following type of neurons can output any real number between 0 and 1 and not just binary outputs?

Correct! Wrong!

Multilayer networks are also called as ________

Correct! Wrong!

Neural networks in which output from one layer is fed as input to another layer are called as ________

Correct! Wrong!

Neural networks in which information is fed both backward and forward are called as ________

Correct! Wrong!

The goal in training a neural network is to find weights and biases which ____________ cost function?

Correct! Wrong!

Neural network with two or more hidden layers can be called as __________

Correct! Wrong!

Which of the following techniques is/are used for training deep neural networks?

Correct! Wrong!

Neural Networks Interview Questions - Set 1
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Ajitesh Kumar

I have been recently working in the area of Data Science and Machine Learning / Deep Learning. In addition, I am also passionate about various different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia etc and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc. I would love to connect with you on Linkedin.
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