What is batch normalization? What is an inception module?
Deep Learning Engineer Interview Questions
519 deep learning engineer 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.
KPI metrics, relevant coding experience, neural network architecture, image processing, object detection, segmentation
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.
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