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NPTEL Deep Learning IIT Ropar Week 1 Assignment Answers

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NPTEL Deep Learning IIT Ropar Assignment Answers

[Week 3] NPTEL Deep Learning – IIT Ropar Assignment Answer 2023

NPTEL Deep Learning – IIT Ropar Assignment Answer

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NPTEL Deep Learning – IIT Ropar Week 3 Assignment Answer 2023

1. Which of the following statements about backpropagation is true?

It is used to optimize the weights in a neural network.
It is used to compute the output of a neural network.
It is used to initialize the weights in a neural network.
It is used to regularize the weights in a neural network.

2. Let y be the true class label and p be the predicted probability of the true class label in a binary classification problem. Which of the following is the correct formula for binary cross entropy?

3. Let yi�� be the true class label of the i�-th instance and pi�� be the predicted probability of the true class label in a multi-class classification problem. Write down the formula for multi-class cross entropy loss.

4. Can cross-entropy loss be negative between two probability distributions?

5. Let p� and q� be two probability distributions. Under what conditions will the cross entropy between p� and q� be minimized?

All the values in p� are lower than corresponding values in q�
p� = 0 [0 is a vector]

6. Which of the following is false about cross-entropy loss between two probability distributions? It is always in range (0,1) It can be negative. It is always positive. It can be 1.

7. The probability of all the events x1,x2,x2….xn in a system is equal(n>1 ). What can you say about the entropy H(X) of that system?(base of log is 2)

We can’t say anything conclusive with the provided information.

8. Suppose we have a problem where data x and label y are related by y=x4+1 . Which of the following is not a good choice for the activation function in the hidden layer if the activation function at the output layer is linear?

9. We are given that the probability of Event A happening is 0.95 and the probability of Event B happening is 0.05. Which of the following statements is True?

Event A has a high information content
Event B has a low information content
Event A has a low information content
Event B has a high information content

10. Which of the following activation functions can only give positive outputs greater than 0?

NPTEL Deep Learning – IIT Ropar Week 2 Assignment Answer 2023

1. What is the range o f the sigmoid function σ(x)=1/1+e −x ?

2. What happens to the output of the sigmoid function as |x| very small?

The output approaches 0.5
The output approaches 1.
The output oscillates between 0 and 1.
The output becomes undefined.

3. Which of the following theorem states that a neural network with a single hidde n layer containing a finite number of neurons can approximate any continuous function?

Bayes’ theorem
Central limit theorem
Fourier’s theorem
Universal approximation theorem

4. We have a function that we want to a pproximate using 150 rectangles (towers). How many neurons are required to construct the required network?

5. A neural network has two hidden layers with 5 neurons in each layer, and an output la y er with 3 neurons, and an input layer with 2 neurons. How many weights are there in total? (Dont assume any bias terms in the network)

6. What is the derivative of the ReLU activation function with respect to its i nput at 0?

Not differentiable

7. Consider a function f(x)=x 3 −3x 2 +2. What is the updated value of xafter 3rd iteration of the gradient descent update, if the learning rate is 0.10.1 and the initial value of x is 4?

8. Which of the following statements is true about the representation power of a multilayer netw o rk of sigmoid neurons?

A multilayer network of sigmoid neurons can represent any Boolean function.
A multilayer network of sigmoid neurons can represent any c ontinuous function.
A multilayer network of sigmoid neurons can represent any function.
A multilayer network of sigmoid neurons can represent any linear function.

9. How many boolean function s can be designed for 3 inputs?

10. How many neurons do you need in the hidden layer of a perceptron to learn any boo l ean function with 6 inputs? (Only one hidden layer is allowed)

NPTEL Deep Learning – IIT Ropar Week 1 Assignment Answer 2023

[Week 3] NPTEL Deep Learning - IIT Ropar Assignment Answer 2023

Cannot be determined from the given information

2. What is the perceptron algorithm used for?

Clustering data points
Finding the shortest path in a graph
Classifying data
Solving optimization problems

3. What is the most common activation function used in perceptrons?

4. Which of the following Boolean functions cannot be implemented by a perceptron?

5. We are given 4 points in R2 say, x1=(0,1),x2=(−1,−1),x3=(2,3),x4=(4,−5).Labels of x1,x2,x3,x4 are given to be −1,1,−1 , 1 We initiate the perceptron algorithm with an initial weight w0=(0,0) on this data. What will be the value of w0 after the algorithm converges? (Take points in sequential order from x1 to x)( update happens when the value of weight changes)

7. Suppose we have a boolean function that takes 5 inputs x1,x2,x3,x4,x5? We have an MP neuron with parameter θ=1. For how many inputs will this MP neuron give output y=1?

8. Which of the following best represents the meaning of term “Artificial Intelligence”?

The ability of a machine to perform tasks that normally require human intelligence
The ability of a machine to perform simple, repetitive tasks
The ability of a machine to follow a set of pre-defined rules
The ability of a machine to communicate with other machines

9. Wh i ch of the following statements is true about error surfaces in deep learning?

They are always convex functions.
They can have multiple local minima.
They are never continuous.
They are always linear functions.

10. What is the output of the following MP neuron for the AND Boolean function?

y={1,0,if x1+x2+x3≥1 0, therwise

y=1 for (x1,x2,x3)=(0,1,1)
y=0 for (x1,x2,x3)=(0,0,1)
y=1 for (x1,x2,x3)=(1,1,1)
y=0 for (x1,x2,x3)=(1,0,0)

Course Name: Deep Learning

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Deep Learning has received a lot of attention over the past few years and has been employed successfully by companies like Google, Microsoft, IBM, Facebook, Twitter etc. to solve a wide range of problems in Computer Vision and Natural Language Processing. In this course we will learn about the building blocks used in these Deep Learning based solutions. Specifically, we will learn about feedforward neural networks, convolutional neural networks, recurrent neural networks and attention mechanisms. We will also look at various optimization algorithms such as Gradient Descent, Nesterov Accelerated Gradient Descent, Adam, AdaGrad and RMSProp which are used for training such deep neural networks. At the end of this course students would have knowledge of deep architectures used for solving various Vision and NLP tasks

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Sudarshan Iyengar has a PhD from the Indian Institute of Science and is currently working as an assistant professor at IIT Ropar and has been teaching this course from the past 4 years.

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deep learning iit ropar nptel assignment answers

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[Week 1] NPTEL Deep Learning – IIT Ropar Assignment Answers 2024

Nptel deep learning – iit ropar week 1 assignment answers 2024.

1. Which Boolean function with two inputs x1 and x2 is represented by the following decision boundary? (Points on boundary or right of the decision boundary to be classified 1)

2. Choose the correct input-output pair for the given MP Neuron.

3. Suppose we have a boolean function that takes 4 inputs x1, x2, x3, x4? We have an MP neuron with parameter θ=2. For how many inputs will this MP neuron give output y=1?

4. We are given the following data:

None of These

6. Consider points shown in the picture. The vector w is (-1,0). As per this weight vector, the Perceptron algorithm will predict which classes for the data points x1 and x2.

7. Given an MP neuron with the inputs as x1,x2,x3,x4,x5 and threshold θ=3 where x5 is inhibitory input. For input (1,1,1,0,1) what will be the value of y?

y=1 since θ≥3
Insufficient information

8. An MP neuron takes two inputs x1 and x2. Its threshold is θ=0. Select all the boolean functions this MP neuron may represent.

10. What is the ”winter of AI” referring to in the history of artificial intelligence?

The period during winter when AI technologies are least effective due to cold temperatures
A phase marked by decreased funding and interest in AI research.
The season when AI algorithms perform at their peak efficiency.
A period characterized by rapid advancements and breakthroughs in AI technologies.

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Deep Learning _ Part 1(IIT Ropar)

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Prof. Sudarshan Iyengar Prof. Sanatan Sukhija IIT Ropar , Mahindra University, Hyderabad

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Prof. Sudarshan Iyengar, Associate Professor at the CSE at IIT Ropar has a Ph.D. from the Indian Institute of Science (IISc). An exemplary teacher who has delivered over 350 popular science talks to students of high school and advanced graduate programmes. Dr. Sudarshan has offered more than 100 hours of online lectures with novel teaching methodologies that have reached lakhs of Students. His research interests include Data Sciences, Social Computing, Social Networks, Collective Intelligence, Crowdsourced Technologies and Secure Computation

Prof. Sanatan Sukhija is currently working as an Assistant Professor in the Department of Computer Science and Engineering at Mahindra University, Hyderabad. He earned his Doctorate from the Department of Computer Science and Engineering at Indian Institute of Technology Ropar. Prior to joining Mahindra University, his varied career includes stints at several industries and academic institutions, including, Amazon, Intel, Siemens, HCL, Punjab Engineering College, and the NorthCap University. He works on specific machine learning problems, in particular, transfer learning and domain adaptation. This research area focuses on learning in those domains where the amount of labeled training data is scarce or absent. His other research deals with learning robust deep models for industry/healthcare related problems. His work has led to multiple publications at several top-tier venues (AI Journal, AAAI, IJCAI, ECML-PKDD, IJCNN, WCCI etc.)

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Week 1 : (Partial) History of Deep Learning, Deep Learning Success Stories, McCulloch Pitts Neuron, Thresholding Logic, Perceptrons, Perceptron Learning Algorithm Week 2 : Multilayer Perceptrons (MLPs), Representation Power of MLPs, Sigmoid Neurons, Gradient Descent, Feedforward Neural Networks, Representation Power of Feedforward Neural Networks Week 3 : FeedForward Neural Networks, Backpropagation Week 4 : Gradient Descent (GD), Momentum Based GD, Nesterov Accelerated GD, Stochastic GD, AdaGrad, RMSProp, Adam, Eigenvalues and eigenvectors, Eigenvalue Decomposition, Basis Week 5 : Principal Component Analysis and its interpretations, Singular Value Decomposition Week 6 : Autoencoders and relation to PCA, Regularization in autoencoders, Denoising autoencoders, Sparse autoencoders, Contractive autoencoders Week 7 : Regularization: Bias Variance Tradeoff, L2 regularization, Early stopping, Dataset augmentation, Parameter sharing and tying, Injecting noise at input, Ensemble methods, Dropout Week 8 : Greedy Layerwise Pre-training, Better activation functions, Better weight initialization methods, Batch Normalization Week 9 : Learning Vectorial Representations Of Words Week 10 : Convolutional Neural Networks, LeNet, AlexNet, ZF-Net, VGGNet, GoogLeNet, ResNet, Visualizing Convolutional Neural Networks, Guided Backpropagation, Deep Dream, Deep Art, Fooling Convolutional Neural Networks Week 11 : Recurrent Neural Networks, Backpropagation through time (BPTT), Vanishing and Exploding Gradients, Truncated BPTT, GRU, LSTMs Week 12 : Encoder Decoder Models, Attention Mechanism, Attention over images

Books and References:

Deep Learning, An MIT Press book, Ian Goodfellow and Yoshua Bengio and Aaron Courville http://www.deeplearningbook.org

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Dear Candidate, ****This is applicable only for the exam registered candidates**** Type of exam will be available in the list: Click Here You will have to appear at the allotted exam center and produce your Hall ticket and Government Photo Identification Card (Example: Driving License, Passport, PAN card, Voter ID, Aadhaar-ID with your Name, date of birth, photograph and signature) for verification and take the exam in person. You can find the final allotted exam center details in the hall ticket. The hall ticket is yet to be released. We will notify the same through email and SMS. Type of exam: Computer based exam (Please check in the above list corresponding to your course name) The questions will be on the computer and the answers will have to be entered on the computer; type of questions may include multiple choice questions, fill in the blanks, essay-type answers, etc. Type of exam: Paper and pen Exam (Please check in the above list corresponding to your course name) The questions will be on the computer. You will have to write your answers on sheets of paper and submit the answer sheets. Papers will be sent to the faculty for evaluation. On-Screen Calculator Demo Link: Kindly use the below link to get an idea of how the On-screen calculator will work during the exam. https://tcsion.com/ OnlineAssessment/ ScientificCalculator/ Calculator.html NOTE: Physical calculators are not allowed inside the exam hall. Thank you! -NPTEL Team

Deep Learning - IIT Ropar : Assignment 12 is live now!!

Dear Learners, The lecture videos for Week 12 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=162&lesson=163 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-12 for Week-12 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=162&assessment=217 The assignment has to be submitted on or before Wednesday,[19/04/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized today ( April 7, 2023 - Friday )( 05.00 PM - 07.00 PM ) is Postponed to April 9, 2023 - Sunday . The G-meet link for the session will be shared before the session. -NPTEL Team

Deep Learning - IIT Ropar : Solution for Assignment 10 released !!

Dear Learner, The Solution for Assignment 10 has been uploaded for the course "Deep Learning - IIT Ropar" . The solution set can be accessed using the following link: Assignment 10: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=130&lesson=221 Please use the discussion forum if you have any queries. Thanks & Regards, -NPTEL Team

Week 11 Feedback Form: Deep Learning - IIT Ropar

Deep learning - iit ropar : assignment 8 & 9 reevaluations.

Dear Learners, Assignment 8 & 9 submission of all students has been reevaluated by changing an option for Question 7(Week 8) and making the weightage as 0 for Question 4(Week 9). Students are requested to find their revised scores of Assignment 8 & 9 on the Progress page. -NPTEL Team

Deep Learning - IIT Ropar : Assignment 11 is live now!!

Dear Learners, The lecture videos for Week 11 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=150&lesson=151 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-11 for Week-11 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=150&assessment=218 The assignment has to be submitted on or before Wednesday,[12/04/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Deep Learning - IIT Ropar : Solution for Assignment 9 released !!

Dear Learner, The Solution for Assignment 9 has been uploaded for the course "Deep Learning - IIT Ropar" . The solution set can be accessed using the following link: Assignment 9: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=115&lesson=220 Please use the discussion forum if you have any queries. Thanks & Regards, -NPTEL Team

Week 10 Feedback Form: Deep Learning - IIT Ropar

Deep Learning - IIT Ropar : Assignment 7 Reevaluations!!

Dear Learners, Assignment 7 submission of all students has been reevaluated by adding an option for Question 5. Students are requested to find their revised scores of Assignment 7 on the Progress page. -NPTEL Team

Deep Learning - IIT Ropar : Assignment 10 is live now!!

Dear Learners, The lecture videos for Week 10 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=130&lesson=131 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-10 for Week-10 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=130&assessment=219 The assignment has to be submitted on or before Wednesday,[05/04/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Deep Learning - IIT Ropar : Solution for Assignment 8 released !!

Dear Learner, The Solution for Assignment 8 has been uploaded for the course "Deep Learning - IIT Ropar" . The solution set can be accessed using the following link: Assignment 8: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=107&lesson=213 Please use the discussion forum if you have any queries. Thanks & Regards, -NPTEL Team

Potential additional date (April 28th) for the April 2023 NPTEL exams

***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES*** Dear Student, Greetings from NPTEL! The Jan 2023 session is coming to an end soon and it’s time to put all your best efforts for the certification exam. The NPTEL team has always been there to make your learning process a joyful one and we hope that with your support we will be able to overcome the challenges of conducting a nation-wide exam of this magnitude. With the closure of exam registration form for the NPTEL April 2023 exams, the final registration count stands at 5.1 Lakh compared to 3.7 Lakh reported during the Jul-Dec 2022 semester. Based on the previous semester data, seats at the certification exam centres are booked by NPTEL at the beginning of the exam registration process. As the semester progresses, sometimes these numbers exceed our estimate, especially on certain dates and certain exam cities. Our goal is to allocate the chosen exam cities to all our learners. And by and large, we are able to allocate the chosen cities and dates with active support from our exam partner and our partner colleges. All efforts are being made to allocate the city of choice or the next nearest exam city for the April 29th/30th 2023 exams, as scheduled. However, in view of the unexpectedly large volume of exam registrations & limitation of seats at certain cities on a particular date, we may be compelled to shift the exam date of certain candidates to 28th April 2023 (Friday) as a last resort, only after exhausting all possibilities. We hope that you will appreciate our logistical constraints of such rescheduling and extend all necessary support as before and participate in the exam. With best wishes for the forthcoming exam(s), Warm regards, NPTEL Team

Week 9 Feedback Form: Deep Learning - IIT Ropar

Deep Learning - IIT Ropar : Assignment 1&3 Reevaluations!!

Dear Learners, Assignment 1&3 submissions of all students have been reevaluated by making the weightage as 0 for Questions 4&2 respectively. Students are requested to find their revised scores of Assignments 1&3 on the Progress page. -NPTEL Team

Deep Learning - IIT Ropar : Assignment 9 is live now!!

Dear Learners, The lecture videos for Week 9 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=115&lesson=116 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-9 for Week-9 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=115&assessment=214 The assignment has to be submitted on or before Wednesday,[29/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Deep Learning - IIT Ropar : Solution for Assignment 7 released !!

Dear Learner, The Solution for Assignment 7 has been uploaded for the course "Deep Learning - IIT Ropar" . The solution set can be accessed using the following link: Assignment 7: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=92&lesson=212 Please use the discussion forum if you have any queries. Thanks & Regards, -NPTEL Team

Week 8 Feedback Form: Deep Learning - IIT Ropar

We would like to know if the expectations with which you attended this problem solving session are being met and hence please do take 2 minutes to fill out our feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form: https://docs.google.com/forms/d/1mqV71jFtdAVJgriqov9fdH2Cvnxn1lHHGn1vJlGOesY/viewform

Deep Learning - IIT Ropar : Assignment 8 is live now!!

Dear Learners, The lecture videos for Week 8 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=107&lesson=108 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-8 for Week-8 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=107&assessment=210 The assignment has to be submitted on or before Wednesday,[22/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Deep Learning - IIT Ropar : Solution for Assignment 6 released !!

Dear Learner, The Solution for Assignment 6 has been uploaded for the course "Deep Learning - IIT Ropar" . The solution set can be accessed using the following link: Assignment 6: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=83&lesson=211 Please use the discussion forum if you have any queries. Thanks & Regards, -NPTEL Team

Week 7 Feedback Form: Deep Learning - IIT Ropar

Deep learning - iit ropar : live interaction 1 with course instructor .

Dear Learner, You can interact LIVE with the Course Instructor Prof. Padmavati of the course – Deep Learning - IIT Ropar Date: 16-03-2023 Time: 04:00 PM Link to login: https://onlinedegree-iitm- ac-in.zoom.us/j/97022151031? pwd= WGNndlRJOHV4aWw4NGpMdUM0TjVWUT 09 Meeting ID: 970 2215 1031 Passcode: 1234 Enter your questions you want Professor to answer at https://docs.google.com/forms/d/e/1FAIpQLSdIK1-i4JJg6kibPw55e23tZalRJcR8BdDVkY9SIHSF2vnrPw/viewform?edit You can also ask your doubts during the session through the chat window. We would also like to hear from you after the session. we request you to share your thoughts in the forum. Learners are encouraged to visit bit.ly/NPTELLIVE for updates on the live sessions. Subscribe to " Interactive Sessions with IIT Profs - NPTEL " for Updates on our Live Sessions -NPTEL team

Deep Learning - IIT Ropar : Assignment 7 is live now!!

Dear Learners, The lecture videos for Week 7 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=92&lesson=93 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-7 for Week-7 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=92&assessment=209 The assignment has to be submitted on or before Wednesday,[15/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Deep Learning - IIT Ropar : Solution for Assignment 5 released !!

Dear Learner, The Solution for Assignment 5 has been uploaded for the course "Deep Learning - IIT Ropar" . The solution set can be accessed using the following link: Assignment 5: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=71&lesson=206 Please use the discussion forum if you have any queries. Thanks & Regards, -NPTEL Team

Week 6 Feedback Form: Deep Learning - IIT Ropar

Deep Learning - IIT Ropar : Assignment 6 is live now!!

Dear Learners, The lecture videos for Week 6 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=83&lesson=84 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-6 for Week-6 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=83&assessment=208 The assignment has to be submitted on or before Wednesday,[08/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Deep Learning - IIT Ropar : Problem solving Session Updated !!

Deep Learning - IIT Ropar : Solution for Assignment 4 released !!

Dear Learner, The Solution for Assignment 4 has been uploaded for the course "Deep Learning - IIT Ropar" . The solution set can be accessed using the following link: Assignment 4: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=59&lesson=205 Please use the discussion forum if you have any queries. Thanks & Regards, -NPTEL Team

Week 5 Feedback Form: Deep Learning - IIT Ropar

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized today (February 17, 2023 - Friday)( 07.00 PM - 09.00 PM) is Postponed to February 20, 2023 - Monday. The G-meet link for the session will be shared before the session. -NPTEL Team

Deep Learning - IIT Ropar : Assignment 5 is live now!!

Dear Learners, The lecture videos for Week 5 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=71&lesson=72 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-5 for Week-5 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=71&assessment=200 The assignment has to be submitted on or before Wednesday,[01/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Deep Learning - IIT Ropar : Solution for Assignment 3 released !!

Dear Learner, The Solution for Assignment 3 has been uploaded for the course "Deep Learning - IIT Ropar" . The solution set can be accessed using the following link: Assignment 3: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=46&lesson=204 Please use the discussion forum if you have any queries. Thanks & Regards, -NPTEL Team

Week 4 Feedback Form: Deep Learning - IIT Ropar

Deep learning - iit ropar : problem solving session.

Deep Learning - IIT Ropar - Problem Solving Session Recording is available!!

Dear Learner, We have uploaded the Recorded videos of the Live Interaction Session - Problem solving Session of Week 1 . Videos are uploaded inside the Separate Unit called " Problem solving Session " along with the slides used wherever applicable. Login to the course on swayam.gov.in to check the same. -NPTEL Team

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized today (February 10, 2023 - Friday)(07.00 PM - 09.00 PM) is Postponed to February 13, 2023 - Monday. The G-meet link for the session will be shared on the day of the session. -NPTEL Team

Deep Learning - IIT Ropar : Assignment 4 is live now!!

Dear Learners, The lecture videos for Week 4 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=59&lesson=60 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-4 for Week-4 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=59&assessment=199 The assignment has to be submitted on or before Wednesday,[22/02/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Deep Learning - IIT Ropar : Solution for Assignment 1 & 2 released !!

Dear Learner, The Solution for Assignment 1 & 2 have been uploaded for the course "Deep Learning - IIT Ropar" . The solution set can be accessed using the following link: Assignment 1: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=17&lesson=202 Assignment 2: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=36&lesson=203 Please use the discussion forum if you have any queries. Thanks & Regards, -NPTEL Team

Week 3 Feedback Form: Deep Learning - IIT Ropar

Deep Learning - IIT Ropar : Assignment 3 is live now!!

Dear Learners, The lecture videos for Week 3 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=46&lesson=47 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-3 for Week-3 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=46&assessment=198 The assignment has to be submitted on or before Wednesday,[15/02/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date:February 3, 2023 - Friday Time: 07.00 PM - 09.00 PM Link to join: https://teams.microsoft.com/l/meetup-join/19%3AQv_XmoBIJyZtssnjWjBXVhwIqGAnUwT3pRXrX8wxFzU1%40thread.tacv2/1674036838946?context=%7B%22Tid%22%3A%22403ee5f4-55b3-45cd-8ae2-824be887a075%22%2C%22Oid%22%3A%224b70ed93-62f1-49ad-b714-96a8627c576c%22%7D Session 2 : Date: February 3, 2023 - Friday Time: 06.00 PM - 08.00 PM Link to join: https://teams.microsoft.com/l/meetup-join/19%3ameeting_M2UxODdkNzUtNzI5OC00MjlhLTg4MjMtNTdhODZjOGIzZjk2%40thread.v2/0?context=%7b%22Tid%22%3a%226f15cd97-f6a7-41e3-b2c5-ad4193976476%22%2c%22Oid%22%3a%2212284f4c-40fa-4f84-9be5-f1f6ad65d7e6%22%7d Happy Learning. -NPTEL Team

Dear learner, Every week there will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1 : Start Date: February 3, 2023 When: Every Friday Time: 07.00 PM - 09.00 PM Link to join: https://teams.microsoft.com/l/meetup-join/19%3AQv_XmoBIJyZtssnjWjBXVhwIqGAnUwT3pRXrX8wxFzU1%40thread.tacv2/1674036838946?context=%7B%22Tid%22%3A%22403ee5f4-55b3-45cd-8ae2-824be887a075%22%2C%22Oid%22%3A%224b70ed93-62f1-49ad-b714-96a8627c576c%22%7D Session 2 : Start Date: February 3, 2023 When: Every Friday Time: 06.00 PM - 08.00 PM Link to join: https://teams.microsoft.com/l/meetup-join/19%3ameeting_M2UxODdkNzUtNzI5OC00MjlhLTg4MjMtNTdhODZjOGIzZjk2%40thread.v2/0?context=%7b%22Tid%22%3a%226f15cd97-f6a7-41e3-b2c5-ad4193976476%22%2c%22Oid%22%3a%2212284f4c-40fa-4f84-9be5-f1f6ad65d7e6%22%7d Session 3 : Start Date: February 4, 2023 When: Every Saturday Time: 03.00 PM - 05.00 PM Link to join: https://meet.google.com/fhe-btrr-pdc Thank you. -NPTEL team

Week 2 Feedback Form: Deep Learning - IIT Ropar

Deep learning - iit ropar : assignment 2 is live now.

Dear Learners, The lecture videos for Week 2 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=36&lesson=37 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-2 for Week-2 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=36&assessment=197 The assignment has to be submitted on or before Wednesday,[08/02/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Week 1 Feedback Form: Deep Learning - IIT Ropar

Dear Learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form: https://docs.google.com/forms/d/1V3ZfOA7ruhlASDAaNb6kjc7LHYb3vUgN6R_LwN9hcRA/viewform Thank you -NPTEL team

Deep Learning - IIT Ropar : Assignment 1 is live now!!

Dear Learners, The lecture videos for Week 1 have been uploaded for the course " Deep Learning - IIT Ropar " . The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=17&lesson=18 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment-1 for Week 1 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=17&assessment=196 The assignment has to be submitted on or before Wednesday,[08/02/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, _NPTEL Team

Deep Learning - IIT Ropar - Week-1 video is live now !!

Dear Learners, The lecture videos for Week 1 have been uploaded for the course “ Deep Learning - IIT Ropar ”. The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=17&lesson=18 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment will be released shortly. As we have done so far, please use the discussion forums if you have any questions on this module. Thanks and Regards, -NPTEL Team

Deep Learning - IIT Ropar : Assignment 0 is live now!!

Dear Learners, We welcome you all to this course "Deep Learning - IIT Ropar" . The assignment 0 has been released. This assignment is based on a prerequisite of the course. You can find the assignment in the link : https://onlinecourses.nptel.ac.in/noc23_cs24/unit?unit=16&assessment=184 Please note that this assignment is for practice and it will not be graded. Thanks & Regards -NPTEL Team

NPTEL: Exam Registration is open now for Jan 2023 courses!

Dear Learner,

Here is the much-awaited announcement on registering for the Jan 2023 NPTEL course certification exam.

1. The registration for the certification exam is open only to those learners who have enrolled in the course.

2. If you want to register for the exam for this course, login here using the same email id which you had used to enroll to the course in Swayam portal. Please note that Assignments submitted through the exam registered email id ALONE will be taken into consideration towards final consolidated score & certification.

3 . Date of exam: Apr 29, 2023

CLICK HERE to register for the exam.

Choose from the Cities where exam will be conducted: Exam Cities

4. Exam fees:

If you register for the exam and pay before Mar 17, 2023, 5:00 PM, Exam fees will be Rs. 1000/- per exam .

5. 50% fee waiver for the following categories:

6. Last date for exam registration: Mar 17, 2023, 5:00 PM (Friday).

7. Mode of payment: Online payment - debit card/credit card/net banking/UPI.

8. HALL TICKET:

The hall ticket will be available for download tentatively by 2 weeks prior to the exam date . We will confirm the same through an announcement once it is published.

9. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions.

10. Data changes:

Last date for data changes: Mar 17, 2023, 5:00 PM :

All the fields in the Exam form except for the following ones can be changed until the form closes.

The following 6 fields can be changed ONLY when there are NO courses in the course cart. And you will be able to edit the following fields only if you: -

6. What is your role ?

11. LAST DATE FOR CANCELLING EXAMS and getting a refund: Mar 17, 2023, 5:00 PM

12. Click here to view Timeline and Guideline : Guideline

Deep Learning - IIT Ropar: Welcome to NPTEL Online Course - Jan 2023!!

Every week, about 2.5 to 4 hours of videos containing content by the Course instructor will be released along with an assignment based on this. Please watch the lectures, follow the course regularly and submit all assessments and assignments before the due date. Your regular participation is vital for learning and doing well in the course. This will be done week on week through the duration of the course.
Please do the assignments yourself and even if you take help, kindly try to learn from it. These assignments will help you prepare for the final exams. Plagiarism and violating the Honor Code will be taken very seriously if detected during the submission of assignments.
The announcement group - will only have messages from course instructors and teaching assistants - regarding the lessons, assignments, exam registration, hall tickets, etc.
The discussion forum (Ask a question tab on the portal) - is for everyone to ask questions and interact. Anyone who knows the answers can reply to anyone's post and the course instructor/TA will also respond to your queries.
Please make maximum use of this feature as this will help you learn much better.
If you have any questions regarding the exam, registration, hall tickets, results, queries related to the technical content in the lectures, any doubts in the assignments, etc can be posted in the forum section
The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: April 29, 2023 Morning session 9am to 12 noon; Afternoon Session 2 pm to 5 pm.
Registration URL: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
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Once again, thanks for your interest in our online courses and certification. Happy learning.

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Deep Learning-IIT Ropar Week 6 : Assignment 6 Answers || July-2023
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Deep Learning IIT Ropar Week 1 Assignment 1 Solution
#deeplearning #nptel #swayam #python #mlIntroduction To Machine Learning All week Assignment Solution - https://www.youtube.com/playlist?list=PL__28a0xFM-8gW...
NPTEL-Deep Learning (IIT Ropar)- Assignment 11 Solution (2024)
NPTEL-Deep Learning (IIT Ropar)- Assignment 11 Solution (2024)Assignment-11 for Week-11 can be accessed from the following linkink: https://onlinecourses.npt...
Deep Learning
Deep Learning - IIT Ropar Week 11 Assignment 11 Answers || July 2023 NPTEL1.https://youtu.be/GZxJi9Kponw?si=K2a_owx7AYsn9oE_2. Join telegram Channel -- http...
Deep Learning
Course certificate. The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres. The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).Date and Time of Exams:30 October 2022Morning session 9am to 12 ...
Deep Learning
Deep Learning - IIT Ropar: Assignment 1 and 2 Solutions Released!! Dear Learners, The Solutions of Week 1 and Week 2 for the course "Deep Learning - IIT Ropar" have been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum.
NPTEL Deep Learning IIT Ropar Week 1 Assignment Answers
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NOC
Course abstract. Deep Learning has received a lot of attention over the past few years and has been employed successfully by companies like Google, Microsoft, IBM, Facebook, Twitter etc. to solve a wide range of problems in Computer Vision and Natural Language Processing. In this course we will learn about the building blocks used in these Deep ...
NOC
Course abstract. Deep Learning has received a lot of attention over the past few years and has been employed successfully by companies like Google, Microsoft, IBM, Facebook, Twitter etc. to solve a wide range of problems in Computer Vision and Natural Language Processing. In this course we will learn about the building blocks used in these Deep ...
Computer Science and Engineering
NPTEL provides E-learning through online Web and Video courses various streams. Toggle navigation. About us; Courses; Contact us; Courses; Computer Science and Engineering; NOC:Deep Learning- Part 1 (Video) Syllabus; Co-ordinated by : IIT Ropar; Available from : 2018-04-25; Lec : 1; Modules / Lectures. Intro Video ... Deep Learning(CS7015 ...
[Week 3] NPTEL Deep Learning
NPTEL Deep Learning - IIT Ropar Week 3 Assignment Answer 2023. 1. Which of the following statements about backpropagation is true? It is used to optimize the weights in a neural network. It is used to compute the output of a neural network. It is used to initialize the weights in a neural network.
Deep Learning
The document is an assessment for Week 1 of the Deep Learning course offered by IIT Ropar on the NPTEL online learning platform. It contains 10 multiple choice questions testing concepts covered in Week 1, such as the shape of decision boundaries for different number of inputs, components of biological neurons, drawbacks of deep learning, the role of neurons in human response, properties of ...
Deep Learning Part 1 (IITM)
Deep Learning Part 1 (IITM) Deep Learning has received a lot of attention over the past few years and has been employed successfully by companies like Google, Microsoft, IBM, Facebook, Twitter etc. to solve a wide range of problems in Computer Vision and Natural Language Processing. In this course we will learn about the building blocks used in ...
Deep Learning-IIT Ropar Week 4 : Assignment 4 Answers || July-2023 || NPTEL
Deep Learning-IIT Ropar Week 4 : Assignment 4 Answers || July-2023 || NPTEL1. https://youtu.be/lS4LzUzvbzA2. Join telegram Channel -- https://t.me/doubttown...
[Week 1-12] NPTEL Deep Learning
About Course. This course will provide you with access to all 12 weeks of assignment answers for NPTEL Deep Learning - IIT Ropar. As of now, we have uploaded the answers of Week 1 to 12. Note:- Buy this plan if you have not yet. Our answers will be visibe to only those who buy this plan.
NOC
Course abstract. Deep Learning has received a lot of attention over the past few years and has been employed successfully by companies like Google, Microsoft, IBM, Facebook, Twitter etc. to solve a wide range of problems in Computer Vision and Natural Language Processing. In this course we will learn about the building blocks used in these Deep ...
Deep Learning
Deep Learning - IIT Ropar. Deep Learning has received a lot of attention over the past few years and has been employed successfully by companies like Google, Microsoft, IBM, Facebook, Twitter etc. to solve a wide range of problems in Computer Vision and Natural Language Processing. In this course we will learn about the building blocks used in ...
[Week 1] NPTEL Deep Learning
NPTEL Deep Learning - IIT Ropar Week 1 Assignment Answers 2024. 1. Which Boolean function with two inputs x1 and x2 is represented by the following decision boundary? (Points on boundary or right of the decision boundary to be classified 1) 2. Choose the correct input-output pair for the given MP Neuron.
Deep Learning -IIT Ropar Week 1 Assignment Answers || Jan 2024 || NPTEL
Deep Learning -IIT Ropar Week 1 Assignment Answers || Jan 2024 || NPTEL1. Join telegram Channel -- https://t.me/doubttown 🚀 Welcome to Doubt Town, your on...
PYQ [Week 1-11] NPTEL Deep Learning
Week 10 Answers 2023. Week 10 Assignment Answers. Week 11 Answers 2023. Week 11 Assignment Answers. Week 12 Answers 2023. Week 12 Assignment Answers. ₹ 49.00 ₹ 99.00. This course will provide you with access to all 12 weeks of assignment answers. As of now, we have uploaded the answers of Week 1 to 12.
Deep Learning
Deep Learning - IIT Ropar : Assignment 2 due date has been extended!! Dear Learners, Assignment 2 has been released already and the due date for the assignment has been extended. Due date of assignment 2 is Sunday, 07-02-2021, 23:59 IST. Please note that there will not be any extension for the upcoming assignments.
Deep Learning _ Part 1 (IIT Ropar)
Deep Learning _ Part 1 (IIT Ropar) ₹ 3,000.00. Prof. Sudarshan Iyengar. Prof. Sanatan Sukhija. IIT Ropar , Mahindra University, Hyderabad. *Additional GST and optional Exam fee are applicable. Add to cart. SKU: IIT Ropar Category: NPTEL self paced courses. Description.
Deep Learning
Assignment 10 submission of all students has been reevaluated by changing the answer (Assignment - 10, Question: 3),. Students are requested to find their revised scores of Assignment 10 on the Progress page. ... Deep Learning - IIT Ropar:Welcome to NPTEL Online Course - July 2023!!
Deep Learning
Deep Learning - IIT Ropar : Problem solving Session Postponed!! Dear learner, Due to unavoidable circumstances, The Problem solving Session organized today ( April 7, 2023 - Friday ) ( 05.00 PM - 07.00 PM) is Postponed to April 9, 2023 - Sunday. The G-meet link for the session will be shared before the session.

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