Difference between Layer and Batch normalization? Template matching, k-means, k-nn, naive bayesian classifier, SVM? Difference between RCNN, its variants and YOLO? Transformers and LSTMs? Why skip connections? Vanishing gradient problem? Random forest?
I can not give details about the tests but they are quiet hard and time-dependent.
Questions about my background. Different visual SLAM techniques. Access control in C++, mutex,...
bias and variance in deep learning
Your experience with generative models.
Presentation about the related work I've done before (image segmentation)
3 algorithm questions which you can code in any language - Basic machine learning and deep learning questions - Questions from your own projects
Discussion on the project I have done
Q: Introduce yourself Q: Career path related Q: Sorting algorithms, starting with an example of cards Q: CNNs and Transformers. Describe ResNet
leetcode hard
Viewing 31 - 40 interview questions