Concepts about overfitting, GRU, LSTM, L1, L2 normalization, KNN, K-means.
Computer Vision Software Engineer Interview Questions
51 computer vision software engineer interview questions shared by candidates
asked about solutions to coding test, data structures, unit tests, video analytics experience etc.
Mostly standard pre-prepared questions. Very little directly enquiring about me as a candidate, and I would guess that several of the interviewers hadn't even looked at my CV. Coding tests included coding on image processing algorithms relevant to the role.
Similar to Leetcode GetRandom. Leetcode prep is good enough
I was asked about the intuition of Low Pass Filters, High Pass Filters etc.
sorting, simple question on CNN
Se fossi disposto a spostarmi lì in zona.
The second round was a phone call and general coding questions about algorithms and data structure were asked (Python/C++).
1-Pytorch 2-Image Augmentation 3-OpenCv 4-Momentum 5-Eroison, Dilation 6-Threshold 7-Object Detection 8-C++ 9-Lambda function 10-Reshape,resize (Behind the scene) 11-CNN Architecture 12-Sequential Model 13-Grey conversion 14-About company 15-Acuracy 16-OpenCV 17-Linkedlist 18-Tensorflow 19-Noise filteration technique 20-Image Segmentation 21-Filter 22-Adaptive thresholding 23-kernal 24-1*1 kernal 25-Vecotr in C++ 1-Image Noise Reduction Techniques
What have you done and how does this relate to what you want to work on at Nvidia Tell us your Machine Learning experience Explain SIFT What is the workflow for Structure from Motion Standard C++ questionss (always the same): - What is a virtual class - What is an inline function - What is a static member variable
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