Graph Algorithm question Smart pointers
Deep Learning Engineer Interview Questions
286 deep learning engineer interview questions shared by candidates
A lot basic ML and DL questions. Spanning from KMeans to GMM, different optimizers used in deep learning, choice of activation functions
Technical presentation, NIPS paper presentation, typical coding test
deep learning challenge: build a model
The coding interview was on a google sheet. The goal was to code K means from scratch, and also explain the logic behind. In the end, they also asked questions about how to make K means scale etc
Technical questions about a specific interview, all DL related. Programming questions started from very basic and went on to harder and more tricky questions, all DL and ML related.
Deep Learning Concepts based on projects. An in-depth understanding of the models used in projects will be needed for answering all questions.
Difference between Adam and SGD optimizer.
Mostly deep learning and Project related questions
Introduce the projects you have done. Many deep learning basic knowledge like the formula of BN Layer, how to prevent overfitting, how to use drop out.
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