Course Name: Deep Learning - IIT Ropar

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 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


Course Instructor

Media Object

Prof. Sudarshan Iyengar

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.


More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Apr 2021
  View Course
 Syllabus
 Enrollment : 18-Nov-2020 to 25-Jan-2021
 Exam registration : 15-Jan-2021 to 12-Mar-2021
 Exam Date : 25-Apr-2021

Enrolled

6208

Registered

518

Certificate Eligible

348

Certified Category Count

Gold

9

Silver

121

Elite

174

Successfully completed

44

Participation

14

Success

Elite

Silver

Gold




Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Note:
We have taken best assignment score from both Jan 2020 and Jan2021 course
Deep Learning - IIT Ropar - Toppers list
Top 1 % of Certified Candidates

DIPIKA GUPTA 94%

PEC UNIVERSITY OF TECHNOLOGY

RACHABATTUNI LEEHA VAISHNAVI 93%

Indian Institute of Technology, Tirupati

APARNA R 93%

Cochin University of Science and Technology(CUSAT)


Top 2 % of Certified Candidates

P VIJAYALAKSHMI 92%

Tvashtaa Data Solutions

MOHD FAISAL 92%

SHAKUN KUMAR 91%

Daimler

MOHAMED JEBRAN P 91%

HKBK COLLEGE OF ENGINEERING


Top 5 % of Certified Candidates

ASHWINI KUMAR UPADHYAY 90%

RAJKIYA ENGINEERING COLLEGE, KANNAUJ

JAICHANDRAN R 90%

VINAYAKA MISSIONS RESEARCH FOUNDATION/ AARUPADAI VEEDU INSTITUTE OF TECHNOLOGY

P ANISHIYA 89%

ANNA UNIVERSITY

ALOK KUMAR 88%

Tata Consultancy Services

PRIYADHARSHINI A 88%

SONA COLLEGE OF TECHNOLOGY

VISHALKUMAR ASHOKBHAI NAIK 88%

UCCC & SPBCBA & SDHG COLLEGE OF BCA AND IT

MUNAZAH MANZOOR 88%

Central University of Kashmir

ANTRA GUPTA 88%

Delhi Technical Campus

CHAITANYA JEE SRIVASTAVA 88%

VIKAS RAJKUMAR GUPTA 87%

SHRI RAMDEOBABA COLLEGE OF ENGINEERING AND MANAGEMENT

JAYASHREE P 87%

SONA COLLEGE OF TECHNOLOGY

ISWARYA K 87%

SONA COLLEGE OF TECHNOLOGY

GOPIKA I 87%

SONA COLLEGE OF TECHNOLOGY

KILARI SUSHMA 87%

INDIAN INSTITUTE OF TECHNOLOGY,MADRAS

TATWIK SAI MOLLETI 87%

Sri Chaitanya School

SOMU VIJAYALAKSHMI 87%

Enrollment Statistics

Total Enrollment: 6208

Registration Statistics

Total Registration : 518

Assignment Statistics



Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.