Mostly introductory, nothing too technical.
Computer Vision Engineer Interview Questions
735 computer vision engineer interview questions shared by candidates
Domande del tipo "cosa ti piacerebbe fare della tua vista che non hai ancora fatto" o "Quanti amici veri hai"
What is overfitting in ML ?
Tell us about yourself, show us a demonstration of a project, etc
1st round as AI engineer (robotic company): Explain why log loss works for Logistic regression? What will be the loss be for multiclass? What loss will you use for multi-class labeling? What is data imbalance? What will you do with imbalanced data? In Sklearn they give one parameter for unbalanced data where they use internally? A major difference between CNN and ANN? How does CNN work? What is pooling? How does it work? What is regularization? What is overfitting? What is dropout? How will it work at training and inference time? What are precision and recall? Some questions from a case study.
what's a CNN, it's layers and each layer's function
Standard questions, and a task to test how quickly I pick things up.
- Linux question ( simple commands) - deep learning new frameworks - coding question ( splitting data to training and test) - the concept behind the object detection models ( RCNN , Yolo) that was the hardest question
Hot to rotate robot from image?
Behavioral
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