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cs3004_2023T1_Q1_NA.pdf

Deep Learning · Quiz 1 · Jan 2023

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Questions and published explanations below are available without starting a test. Some questions may not have a published solution yet.

Question 105 MSQ · 3.0 marks

Which of the following statement(s) about MP neuron is (are) true?
  1. Given linearly separable data points, it learns the decision rule from the data points
  2. The inputs to the neuron are Boolean
  3. The neuron must have inhibitory inputs to implement a Boolean function
  4. The neuron always use a linear decision boundary to separate the data points

A published solution is not available for this question yet.

Question 106 MSQ · 3.0 marks

[[IMAGE:200e572a51121c8d_3_0]]
Source diagram or notation
  1. [[IMAGE:200e572a51121c8d_3_1]]
    Source diagram or notation
  2. [[IMAGE:200e572a51121c8d_3_2]]
    Source diagram or notation
  3. [[IMAGE:200e572a51121c8d_3_3]]
    Source diagram or notation
  4. [[IMAGE:200e572a51121c8d_3_4]]
    Source diagram or notation

A published solution is not available for this question yet.

Question 107 NAT · 6.0 marks

[[IMAGE:200e572a51121c8d_4_5]]
Source diagram or notation

    A published solution is not available for this question yet.

    Question 108 MCQ · 3.0 marks

    [[IMAGE:200e572a51121c8d_5_6]]
    Source diagram or notation
    1. reduces
    2. remains 90\(^{o}\)
    3. increases
    4. insufficient information

    A published solution is not available for this question yet.

    Question 109 NAT · 2.0 marks

    [[IMAGE:200e572a51121c8d_6_7]] Based on the above data, answer the given subquestions.
    What is the minimum number of neurons required to implement the network?
    Source diagram or notation

      A published solution is not available for this question yet.

      Question 110 NAT · 3.0 marks

      [[IMAGE:200e572a51121c8d_6_7]] Based on the above data, answer the given subquestions.
      Suppose we use a hard-threshold as an activation function for the neurons in the first hidden layer and add/subtract the outputs from the first hidden layer to obtain the function. The hard threshold function is defined to be [[IMAGE:200e572a51121c8d_7_8]]
      Source diagram or notationSource diagram or notation

        A published solution is not available for this question yet.

        Question 111 MCQ · 2.0 marks

        [[IMAGE:200e572a51121c8d_6_7]] Based on the above data, answer the given subquestions.
        [[IMAGE:200e572a51121c8d_8_9]]
        Source diagram or notationSource diagram or notation
        1. TRUE
        2. FALSE

        A published solution is not available for this question yet.

        Question 112 NAT · 6.0 marks

        [[IMAGE:200e572a51121c8d_6_7]] Based on the above data, answer the given subquestions.
        [[IMAGE:200e572a51121c8d_9_10]]
        Source diagram or notationSource diagram or notation

          A published solution is not available for this question yet.

          Question 113 NAT · 2.0 marks

          [[IMAGE:200e572a51121c8d_10_11]] Based on the above data, answer the given subquestions.
          What is the total number of parameters (excluding bias) in the network?
          Source diagram or notation

            A published solution is not available for this question yet.

            Question 114 NAT · 2.0 marks

            [[IMAGE:200e572a51121c8d_10_11]] Based on the above data, answer the given subquestions.
            The number of paths via which the input x1, that is the first element of **x**, affects the loss is Note: Path is a directed edge that connects one neuron with other neuron
            Source diagram or notation

              A published solution is not available for this question yet.

              Question 115 NAT · 3.0 marks

              [[IMAGE:200e572a51121c8d_10_11]] Based on the above data, answer the given subquestions.
              [[IMAGE:200e572a51121c8d_12_12]]
              Source diagram or notationSource diagram or notation

                A published solution is not available for this question yet.

                Question 116 NAT · 3.0 marks

                [[IMAGE:200e572a51121c8d_10_11]] Based on the above data, answer the given subquestions.
                [[IMAGE:200e572a51121c8d_12_13]]
                Source diagram or notationSource diagram or notation

                  A published solution is not available for this question yet.

                  Question 117 NAT · 5.0 marks

                  [[IMAGE:200e572a51121c8d_10_11]] Based on the above data, answer the given subquestions.
                  [[IMAGE:200e572a51121c8d_13_14]]
                  Source diagram or notationSource diagram or notation

                    A published solution is not available for this question yet.

                    Question 118 MCQ · 5.0 marks

                    [[IMAGE:200e572a51121c8d_14_15]]
                    Source diagram or notation
                    1. d
                    2. b
                    3. a
                    4. c

                    A published solution is not available for this question yet.

                    Question 119 MCQ · 2.0 marks

                    The statement that using vannila (plain) gradient descent algorithm always avoids oscillation around local minimum while converging is
                    1. TRUE
                    2. FALSE       **PSM** **Section Id :** 64065330378 **Section Number :** 7 **Section type :** Online **Mandatory or Optional :** Mandatory **Number of Questions :** 4 **Number of Questions to be attempted :** 4 **Section Marks :** 50 **Display Number Panel :** Yes **Group All Questions :** No **Enable Mark as Answered Mark for Review and** Yes **Clear Response :** **Maximum Instruction Time :** 0

                    A published solution is not available for this question yet.