Coding and technical, followed by Presentation
Deep Learning Engineer Interview Questions
519 deep learning engineer interview questions shared by candidates
What do you want to do in the future?
Deep learning research experience and machine learning concepts along with basic HR questions like why this role and why this company
Algorithm medium questions from leet code
Mostly related to the deep learning and projects that I worked
présente toi? Raconte nous une de tes expériences? Est ce que le projet X est un projet scolaire ou pas? Pourquoi tu veux intégrer Thales? Ton projet professionnel? Les cours que tu a suivi cette années? Est ce que tu a des questions?
Basic ML & DL questions, some questions about my research, some behavioural questions.
Machine learning: MAP and predictive distribution, how does KNN work and trade-offs, some questions about CNN
Introduce yourself Where else did I apply to? What is my plan after graduation? Ph.D vs Jobs What is my thesis about? What’s your own contribution? Feature based visual SLAM vs direct method What is the effect of illumination change on both types of SLAM? What are the benefits of using visual features such as ORB, SIFT etc. Explain epipolar geometry and homogeneous coordinate. Why SIFT is robust to illumination change, why does it use features pyramid Explain about monocular depth estimation Why do they use L1 loss in appearance matching? In packnet-sfm for example? Why does training a neural network can diverge sometimes? What can we do about it?
Deep learning architecture, LSTM, RNN , Transformer
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