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What do the training and loss graphs convey about a neural network? How do different loss functions affect the shape of the loss graph, and what are some frequently adopted ones? How do the training and loss graphs differ, and what part do they play in optimizing and improving model performance?

Tell me a high-level overview of your background. What experience is most relevant to Qualcomm

If you were to flip a coin repeatedly, what minimum percentage of times should it land on heads to be considered a fair coin?

Can you construct a function to calculate the length of a sorted integer list that contains -1 as placeholders for out-of-range values, without using built-ins?

Walk me through the process of getting the confidence intervals around a mean in Python?

Between ReLU and sigmoid functions, which one mitigates the vanishing gradient issue more efficiently?

What is the reason behind your search for a new job?

I'd like to hear about a time you led a team.

If you receive an offer from Qualcomm, how long do you think you'll stay here?

Please share your most innovative idea.