NPTEL Deep Learning IIT Ropar Assignment 7 Answers 2022
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NPTEL Deep Learning IIT Ropar Assignment
Next Week Assignment Answers
This course can have Associate in Nursing unproctored programming communication conjointly excluding the Proctored communication, please check announcement section for date and time. The programming communication can have a weightage of twenty fifth towards the ultimate score.
- Assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
- ( All assignments in a particular week will be counted towards final scoring – quizzes and programming assignments).
- Unproctored programming exam score = 25% of the average scores obtained as part of Unproctored programming exam – out of 100
- Proctored Exam score =50% of the proctored certification exam score out of 100
UNPROCTORED PROGRAMMING EXAM SCORE >=10/25 AND PROCTORED EXAM SCORE >= 20/50.
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BELOW YOU CAN GET YOUR NPTEL Deep Learning IIT Ropar Assignment 7 Answers 2022? :
1. Bias enables shifting the activation function by adding a constant to the input. How is it related to model complexity? Select all that apply.
a. Complex model has a low bias
b. Simple model has a low bias
c. Complex model has a high bias
d. Simple model has a high bias
Answer:- A.D
2. What are the preferred values for Bias and Variance to yield a low Mean Squared Error?
a. Low bias and high variance
b. Low variance and high bias
c. Low bias and low variance
d. Optimal value for both bias and variance
Answer:-D
NPTEL Deep Learning – IIT Ropar Assignment 7 Answers 2022
3. Given the relation between Validation Error and Model complexity for a Deep Neural Network to classify dogs and cats, Which of the points correspond to underfitting?
a. a
b. b
c. c
d. both a and b
Answer:-A
4. Consider the Deep Neural Network as described in Question 3, Which of the following instances marked on graph marks the preferred optimal complexity?
a. a
b. b
c. c
d. both a and b
Answer:- C
5. Which of the following statements are True?
Statement I. Training a model to drive the training error to zero ensures high model performance.
Statement II. Tuning for Validation error ensures that the model does not overfit
a. Only I
b. Only II
c. Both I and II
d. None
Answer:- B
6. Pick out the strategies to prevent overfitting.
a. Reduce the number of hidden layers
b. Decrease the number of samples
c. Switch off some of the neurons in the neural network
d. Increase the number of hidden layers
Answer:- A, C
NPTEL Deep Learning – IIT Ropar Assignment 7 Answers 2022
7. Which of the following is CORRECT for Bagging?
a. Combines predictions from different neural network models on same data
b. Used to reduce variance within the dataset
c. Leads to Overfitting
d. Ensemble on models trained on same classifier using different instances
Answer:- A,D
8. Suppose there are 20 nodes in a Deep Neural network and we implement Dropout by removing few nodes to obtain a thinned network. What is total number of such thinned networks that can be formed?
a. 20
b. (2)^20
c. (20)^2
d. ((2)^2)^20
Answer:- B
9. Identify the need for regularization. Select all that apply.
a. Deep Neural networks are complex
b. Involves non-linearities
c. High possibility of overfitting
d. Involves many Parameters
Answer:- All
10. You are training a neural network model using Early stopping technique.Given that the patience parameter is 2, When will you stop training?
a. 3
b. 4
c. 5
d. 6
Answer:- D
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