Difference between a regular autoencoder and a variational autoencoder.
Deep Learning Developer Interview Questions
519 deep learning developer interview questions shared by candidates
Worst company and HR policy I have ever seen
What's the use of template in c++
When should use inherently class?
Write an algorithm to find whether a given date is in a sorted array of date. If not, return the index of the closest date.
Given historical stock prices, determine best date to buy and sell
Low level system architecture
- An assembly question about a SIMD architecture that I cannot remember exactly. - Given an array of points (x and y coordinates), implement a data structure (a heap) for insertion and deletion of n nearest ones. - Implement a CUDA kernel that computes the frequencies of numbers given in an array - Given a very large file containing integers, implement an algorithm that outputs sorted version. (also do space and time complexity analysis) - Implement an optimized CUDA kernel for matrix transpose (also had discussions about GPU architecture) - Present a system you designed and implemented, and explain the changes for desired features asked on the conversation. - Various questions about deep learning like explanation of optimization algorithms, difference between gradient descent and stochastic gradient descent, underfitting, overfitting, gradient clipping and many more.
for example, the candidate should describe their approach to designing a generative adversarial network (GAN) that can learn to produce realistic images of human faces.
Coding interview two rounds and 15 min break
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