How would I manage a strart-up ?
Computer Vision Researcher Interview Questions
249 computer vision researcher interview questions shared by candidates
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?
Almost 35 questions with a long long explanation, aim to find out how to have higher profit, how to have more customer, English level and etc.
Can you explain how you would approach denoising an image using machine learning techniques?
Write an algorithm to clean up noisy signal data.
Background y preguntas sencillas sobre ML
I can not give details about the tests but they are quiet hard and time-dependent.
Easy to medium Leetcode. Explain Vision Transformers. Autoencoders.
They asked about deep learning theory, and the process of developing a deep learning application.
Mainly about previous projects and current role and responsibilities
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