Second, I was asked technical questions about traditional machine learning like “How to convert from linear regression to logistic regression?” Then deep learning like “How to upscale an image that goes into CNNs in the CNNs layer without using any outer image resizer {he means padding in the CNN layer}” and “Explain the differences between RNNs, LSTMs, and GRUs in the number of gates”, and a few more questions.
First, I was asked about myself and my previous experience in AI, so I gave an introduction about myself and my projects in AI field.
Algorithms, coding. Asked about previous projects.
What is AI and supervised learning
multiple Questions about pytorch and how it works,
tell me about ur self
Machine learning and deep learning models, experience in deep learning
coding:Consider two functions each should be called and when first function called the array of first concatenated with second array. And when second function is called the array of second concatenated with first array
Tell me about your Self
ML model implementation related questions
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