Q1. Talk about your project experiences Q2. GAN-related questions. (WGAN, gradient vanishing) Q3. Audio preprocessing (DSP) questions. Q4. RNN, LSTM, GRU gates Q5. Why phase(waveform) hard to learn? Q6. Real-time ML model problems Q7 Design an ML system to fit his requirement. and many leetcode problems.
Design e-commerce website with respect to efficient techniques ( using CDN, CACHE, Rendering concepts)
ML models generalization v/s memorization.
She asked me about what I had done during my internship related to artificial intelligence.
proper definations and process of pytorch library .
Explain your project. Why did you choose the DNNs and these specific tools. Explain the evaluation metrics you used. How did you tackled preprocessings. Explain the loss function you chose to implement.
Python programming/coding questions basic like find the missing no in the list
Difference between list and tuple
Tensorflow and keras models
Difference between logistic regression and linear regression and the examples
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