Describe Unet and ways to improve a segmentation model accuracy in a class imbalance setting.
Deep Learning Engineer Interview Questions
519 deep learning engineer interview questions shared by candidates
Questions were more open-ended. I was given a plot of model training history and asked: "If you were training a model and it was exhibiting these characteristics (train-val loss profile, accuracy, etc.) what would be your next move?"
Technical Interview with Team Lead about machine learning basics and how it can be applied to Preisze use cases(body size measurement, Homography from images, Body Reconstruction) Research Interview: they give you one hour to prepare a presentation on a question(again related to presize use cases) which you have to solve the latest deep learning techniques. They will straightforwardly reject you if you do not use the latest technique and use classical techniques to solve a problem.
My projects in ML mainly.
What is your favorite recent deep learning paper?
I was asked to read beforehand a technical paper on Deep learning and describe it during the interview
Super resolution of satellite images using deep learning
Describe the working of an LSTM Model?
Fine tune a VGG classifier for some task
How do you find constructive critique?
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