8. What are transformers?
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6. What is Image Segmentation?
5. If we have a GAN predicting cars and we want it to predict Flowers, how do we do that? How do we tell the discriminator that the incoming image is a flower?
1. Explain the architecture of Resnet and how is it better than EfficientNet?
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What is an example of recursion?
The first - non-technical - interview was perfect. The second - technical - was a disaster. The most difficult part sometimes was to understand what they mean. They had difficulties to express their thoughts in English. Everyone who programmed for few years can check new candidate knowledge in 15 minutes. They failed totally.
1) Question on Deep Learning basics 2) Image brightness & contrast enhancement. 3) Histogram Equalisation 4) How you implement ML flow .
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