Python data structures, garbage collection, generators, decorators, OOP method re-definition. CNN and transfer learning, image classification, loss functions, backpropagation, weight initialisation.
Research And Development Scientist Interview Questions
4,833 research and development scientist interview questions shared by candidates
1) Lots of questions on mathematical details of different optimizers and their differences & limit cases. Similarly mathematical discussion on weight initialisation 2) Programming questions aiming both at knowledge of Python as well as ability to solve coding problems. 3) Theoretical Knowledge about machine learning
Backpropagation: imagine a feed forward neural network with two neurons and they asked what happens if one neuron has a very large weight and the other a very small one (approx 0, but not 0)
Can you tell me about some situations when you've demonstrated leadership?
Not much. Since problem-solving, leadership and collaboration were already addressed by me while introducing my research.
The impact of weight initialization on training.
Are people from industry interested in this?
What was your career plan in the next five years.
How could you improve X aspect of your software?
what is the impulse response and how to get it
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