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Deep Learning MCQ Quiz (Multiple Choice Questions And Answers)

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11. The input image has been converted into a matrix of size 28 X 28 and a kernel/filter of size 7 X 7 with a stride of 1. What will be the size of the convoluted matrix?

  •  20x20
  • 21x21
  • 22x22
  • 25x25

12. Which of the following statements is true when you use 1×1 convolutions in a CNN?

  • It can help in dimensionality reduction
  •  It can be used for feature pooling
  • It suffers less overfitting due to small kernel size
  • All of the above

13. Which of the following functions can be used as an activation function in the output layer if we wish to predict the probabilities of n classes (p1, p2..pk) such that sum of p over all n equals to 1?

  • Softmax
  • ReLu
  • Sigmoid
  • Tanh

14. The number of nodes in the input layer is 10 and the hidden layer is 5. The maximum number of connections from the input layer to the hidden layer are

  • 50
  •  less than 50
  • more than 50
  • It is an arbitrary value

15.  In which of the following applications can we use deep learning to solve the problem?

  • Protein structure prediction
  • Prediction of chemical reactions
  • Detection of exotic particles
  • All of the above