CSAI DataScience Intern OA

Question 1: Vanishing Gradient
Which of the following is NOT a potential solution to the vanishing gradient problem in a deep neural network?

• Adding skip connections to the neural network architecture
  
• Using a different activation function like ReLU
  
• Raising the learning rate
  
• Adding Batch Normalization between layers
  

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Question 2: Boosting Classification
For the classification problem, Boosting is widely used because:

• Diversity can be boosted because all ensemble members are created in parallel
  
• Residual error has been minimized, which reduces the margin distribution
  
• It attempts to maximize the margins on the training data
  
• None of the above
  
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  nimum Reject Request
  A production line received many production requests, given as tuples of production start and end time, . However, no two requests can be processed at the same time. For example, out of two requests [(15,30), (10,20)], only one can be processed by the production line. Suppose there is a list of requests [(s1, e1), (s2, e2) ...]. Find the minimum number of requests that have to be rejected from the production line.