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Deep Learning Research Engineer Interview Questions
71 deep learning research engineer interview questions shared by candidates
Describe the PGD attack algorithm
What is batch normalization? What is an inception module?
Describe overfitting, describe batch nromalization, what is the difference between classification and regression, how to implement grid search
How the foundation models can be applied to an intelligent voice system.
in the first interview they asked me about an image with gaussian noise with large variance. they asked how can we make some segmentation. a recommendation for you: go over the basics such as how to calculate variance, what is the variance of two iid variables, how to handle gaussian noise, how to find edges etc in the second interview i felt that the interviewer come up with questions according to my background.
First 10 minutes were spent discussing the team's background, goals, and current projects. Then 3- minutes for questions pertaining to my technical background and prior projects that overlapped with the work their team was doing. Remaining 5 minutes for Q&A.
Given a list of nodes that can connect with each other. Write a function that can check any node whether they are connected.
DP problem of counting the number of different ways of climbing n stairs.
How to use knowledge base for (visual) question answering?
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