About computer vision and deploying the ml models.
Computer Vision Interview Questions
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Implement a max pooling layer such that its output dimensions are identical to its input dimensions. (Note: The provided example input and expected output for this problem were unclear and did not align with conventional max pooling operations.)
Write a code for Conv2D, binary interpolation, denoising etc
Explain Transfer learning and layer freezing.
Do you have any experience doing project?
Q. What is the role of learning rate? Q. DSA question regarding finding unique integers in an array Q. Questions about image inputs and outputs in Yolo architecture.
Can yolov5 model be used for instance segmentation
Oops ,STL, and Intermediate DSA questions along with your project mentioned.
Coding: factorial, use loop or recusion. Then for CV, very basic machine learning questions
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