Neural Networks Interview Questions – Quiz #45

Are you preparing for a job interview in the field of deep learning or neural networks? If so, you’re likely aware of how complex and technical these topics can be. In order to help you prepare, we’ve put together a list of common neural network interview questions and answers in form of multiple-choice quiz.

The quiz in this blog post covers basic concepts related to neural network layers, perceptron, multilayer perceptron, activation functions, feedforward networks, backpropagation, and more. We’ve included 15 multiple-choice questions, as well as 5 additional questions specifically focused on the backpropagation algorithm. I will be posting many more quizzes on the neural networks in time to come, including those related to detailed concepts on CNN, RNN, LSTM, Transformers, etc.

Some of the topics covered in the quiz include: the purpose of an activation function in a neural network, the difference between a multilayer perceptron and a convolutional neural network, the vanishing gradient problem, the meaning of weight initialization and the role of a bias term in a neural network.

We hope that this quiz will help you to prepare for your upcoming interview and improve your understanding of the key concepts related to neural networks and deep learning. Whether you’re a beginner or an experienced practitioner, it’s always helpful to review the basics and stay up-to-date on the latest industry developments. Good luck!

Questions & Answers Practice Test on Neural Networks