1. Expression Tree given as input. Evaluate the expression. 2. Counting the number of ways to climb a ladder. 3. A problem on Template Matching - Computer Vision. 4. Few Machine Learning Concepts - explaining algorithms. 5. Many Deep Learning Concepts - explaining the details on how training is done. 6. Coin change problem. 7. Resume based questions and was ask to code an algorithm implemented in one of my projects.
How do you know about diffusion model?
Tell me about yourself briefly
Formulas for cross-entropy and triplet loss. How does the margin in triplet loss affect training
a dynamic programming coding question
Can't say specifically, but something close would be like: Given this tensor, how would you normalize it, using 32 cores? Is mutex a good idea for this?
Implement multi headed self attention
- Provide a code review for some python code. - gpu optimization strategies for some cuda code. - discussion on the building blocks from DL api
Leetcode, optimization, benchmarking, unit testing, system design for benchmarking
How does batch normalization work in deep network training?
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