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1. What is dropout? 2. how do we implement dropout? 3. How compensate for dropout? (the fact that at training time a portion of the neurons were deactivated.) 4. Do we used dropout in testing as well? Why? 5. What is one of the key assumptions for the Naive Bayes method? 6. Why do we randomize weights at the beginning of training?
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Research Engineer

Interviewed at Neuralink

3.5
Feb 14, 2023

1. What is dropout? 2. how do we implement dropout? 3. How compensate for dropout? (the fact that at training time a portion of the neurons were deactivated.) 4. Do we used dropout in testing as well? Why? 5. What is one of the key assumptions for the Naive Bayes method? 6. Why do we randomize weights at the beginning of training?

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