Efficient ways to parallelize the matrix-multiplication
Deep Learning Developer Interview Questions
519 deep learning developer interview questions shared by candidates
Describe a project you worked on How would you name the class to add color in a program
Deep learning architecture, LSTM, RNN , Transformer
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?
Machine learning: MAP and predictive distribution, how does KNN work and trade-offs, some questions about CNN
Basic ML & DL questions, some questions about my research, some behavioural questions.
Deep learning research experience and machine learning concepts along with basic HR questions like why this role and why this company
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?
Mostly related to the deep learning and projects that I worked
Experience and skills relevant to the company, home test assignment
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