What is batch normalization? What is an inception module?
Deep Learning Developer Interview Questions
519 deep learning developer interview questions shared by candidates
I can't share interview questions. Mostly Python coding.
What motivates you to work in the field of AI?
Describe overfitting, describe batch nromalization, what is the difference between classification and regression, how to implement grid search
What relevant projects have you tackled with regards to the position that you are applying for?
Asked about my research experience and how I would apply my research to their engineering problems.
How the foundation models can be applied to an intelligent voice system.
What are the layers of a neural network? and what do they do? There are also two computational questions about CNN's.
They asked general question about deep neural networks, what is convolution, what is a conv layer, do i know specific networks and their architectures. Than a short english talking part to measure my english level.
Viewing 381 - 390 interview questions
See Interview Questions for Similar Jobs
Deep Learning EngineerDeep Learning / Machine Learning ResearcherDeep Learning Research EngineerApplied Machine Learning ResearcherApplied Machine Learning EngineerDeep Learning ScientistMachine Learning DeveloperPython Machine Learning EngineerDeep Learning Data ScientistArtificial Intelligence DeveloperMachine Learning ResearcherArtificial Intelligence EngineerJunior Machine Learning EngineerApplied ResearchMachine Learning InternshipAi Machine Learning EngineerMl EngineerApplied Math