# Deep Learning | Week 6

**Course Name: Deep Learning**

**Course Link: Click Here**

**These are NPTEL Deep Learning Week 6 Assignment 6 Answers**

**Q1. Which of the following is considered for correcting a weight during back propagation?**

a. Positive gradient of weight

b. Gradient of error

c. Negative gradient of error w.r.t weight

d. Negative gradient of weight

**Answer: c. Negative gradient of error w.r.t weight**

**Q2. What will happen when learning rate is set to zero?**

a. Weight update will be very slow

b. Weights will be zero

c. Weight update will tend to zero but not exactly zero

d. Weights will not be updated

**Answer: d. Weights will not be updated**

**These are NPTEL Deep Learning Week 6 Assignment 6 Answers**

**Q3. During back-propagation through max pooling with stride the gradients are**

a. Evenly distributed

b. Sparse gradients are generated with non-zero gradient at the max response location

c. Differentiated with respect to responses

d. None of the above

**Answer: b. Sparse gradients are generated with non-zero gradient at the max response location**

**Q4. Gradient of sigmoid function is maximum at x=?**

a. 0

b. Positive Infinity

c. Negative Infinity

d. 1

**Answer: a. 0**

**These are NPTEL Deep Learning Week 6 Assignment 6 Answers**

**Q5. The derivative of the loss function with respect to the weights in a deep neural network can be computed as,**

a. Sum of derivative of cost function, derivative of non-linear transfer function and derivative of linear network.

b. Product of derivative of cost function and derivative of non-linear transfer function.

c. Product of derivative of cost function, derivative of non-linear transfer function and derivative of linear network.

d. Sum of derivative of cost function and derivative of non-linear transfer function.

**Answer: c. Product of derivative of cost function, derivative of non-linear transfer function and derivative of linear network.**

**Q6. Which of the following models can be employed for unsupervised learning?**

a. Autoencoder

b. Restricted Boltzmann machines

c. Bothaandb

d. None

**Answer: c. Bothaandb**

**These are NPTEL Deep Learning Week 6 Assignment 6 Answers**

**Q7.**

**Find the gradient component ‘g’ of this function.**

a. 2

b. e^{2}

c 2e^{2}

d. 4

**Answer: b. e ^{2}**

**These are NPTEL Deep Learning Week 6 Assignment 6 Answers**

**Q8. What is the similarity between an autoencoder and Principle Component Analysis (PCA)?**

a. Both assume nonlinear systems

b. Subspace of weight matrices

c. Both can assume linear systems

d. All of these

**Answer: c. Both can assume linear systems**

**These are NPTEL Deep Learning Week 6 Assignment 6 Answers**

**Q9. Which of the following is only an unsupervised learning problem?**

a. Digit Recognition

b. Image Segmentation

c. Image Compression

d. All of the above

**Answer: c. Image Compression**

**These are NPTEL Deep Learning Week 6 Assignment 6 Answers**

**Q10. What is the dimension of encoder weight matrix of an autoencoder (hidden units=400) constructed to handle 10-dimensional input samples?**

a. rows =10 and columns = 401

b. rows =400 and columns = 10

c. rows =11 and columns = 400

d. rows =400 and columns = 11

**Answer: b. rows =400 and columns = 10**

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**These are NPTEL Deep Learning Week 6 Assignment 6 Answers**

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