Course Name: Deep Learning

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

Mitesh M. Khapra

Mitesh M. Khapra is an Assistant Professor in the Department of Computer Science and Engineering at IIT Madras. While at IIT Madras he plans to pursue his interests in the areas of Deep Learning, Multimodal Multilingual Processing, Dialog systems and Question Answering. Prior to that he worked as a Researcher at IBM Research India. During the four and half years that he spent at IBM he worked on several interesting problems in the areas of Statistical Machine Translation, Cross Language Learning, Multimodal Learning, Argument Mining and Deep Learning. This work led to publications in top conferences in the areas of Computational Linguistics and Machine Learning. Prior to IBM, he completed his PhD and M.Tech from IIT Bombay in Jan 2012 and July 2008 respectively. His PhD thesis dealt with the important problem of reusing resources for multilingual computation. During his PhD he was a recipient of the IBM PhD Fellowship (2011) and the Microsoft Rising Star Award (2011). He is also a recipient of the Google Faculty Research Award (2017).
More info

Teaching Assistant(s)

Pritha Ganguly

B.Tech in Computer Science and Engineering (Currently pursuing MS in CS)

IITM

Nitesh Methani

B.E. in Information Technology (Currently pursuing M.S. in CS)

IITM

 Course Duration : Jul-Oct 2018
  View Course
 Enrollment : 18-Apr-2018 to 30-Jul-2018
 Exam registration : 25-Jun-2018 to 18-Sep-2018
 Exam Date : 28-Oct-2018

Enrolled

12802

Registered

900

Certificate Eligible

701

Certified Category Count

Gold

30

Silver

0

Elite

444

Successfully completed

227

Participation

28

Success

Elite

Gold




Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

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.
Deep Learning - Toppers list
Top 1 % of Certified Candidates

BISWAJIT SAHOO 98%

PRASHANT BARTAKKE 97%

COLLEGE OF ENGINEERING PUNE

ROHITHRAM R 96%

IIT MADRAS

IMMANUEL SELVAKUMAR 96%

KARUNYA INSTITUTE OF TECHNOLOGY AND SCIENCES

SHIVANI BATHLA 95%

IIT MADRAS

ANOOP C S 94%

GOVERNMENT ENGINEERING COLLEGE, PALAKKAD

BHUVANESWARI SANKARANARAYANAN 94%

SCHLUMBERGER INDIA TECHNOLOGY PVT LTD.

V K DINGU SAGAR 94%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM


Top 2 % of Certified Candidates

PARTHKUMAR BHANUBHAI TRIVEDI 93%

GOVERNMENT ENGINEERING COLLEGE, BHAVNAGAR

MD DANISH IMAM 92%

INDIAN INSTITUTE OF TECHNOLOGY,KHARAGPUR

PROBHAKAR ROY 92%

UNIVERSITY OF ENGINEERING & MANAGEMENT (UEM)

ANSHUL SHAIVE 92%

LAKSHMI NARAIN COLLEGE OF TECHNOLOGY, BHOPAL

SAI NARSIMHA VEDULA 92%

INDIAN INSTITUTE OF TECHNOLOGY,MADRAS

VEDANT BASSI 91%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

DASARI MOHANA MURALI 91%

INDIAN INSTITUTE OF TECHNOLOGY,TIRUPATI


Top 5 % of Certified Candidates

SHANKAR KUMAR JHA 90%

FRACTAL ANALYTICS

SUJOY SARKAR 90%

RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES

KONDA AMULYA REDDY 90%

MATRUSRI ENGINEERING COLLEGE

MEENAL VIJAY NARKHEDE 90%

COLLEGE OF ENGINEERING PUNE

ELLEN BROCK 90%

FREELANCE

DEEPA ANAND 90%

CMR INSTITUTE OF TECHNOLOGY

FARAZ JAMAL 90%

INDIAN INSTITUTE OF TECHNOLOGY,ROORKEE

ARUN PRAKASH A 90%

KONGU ENGINEERING COLLEGE

AKSHAY CHANDRA LAGANDULA 90%

GGK TECHNOLOGIES

SWARNALATHA RAGHURAMAN 90%

ANTWORKS LIMITED

ARKADIPTA DE 90%

GOVT. COLLEGE OF ENGINEERING & TEXTILE TECHNOLOGY BERHAMPORE

ASHUTOSH AGRAHARI 90%

AMITY UNIVERSITY

P NAVEEN 90%

INDIAN INSTITUTE OF TECHNOLOGY TIRUPATI

MANIMALA MAHATO 90%

SHAH & ANCHOR KUTCHHI ENGINEERING COLLEGE

RISHABH RAJAN LALLA 90%

K. J. SOMAIYA COLLEGE OF ENGINEERING

RAVI DOMALA 88%

GOVERNMENT OF INDIA, MINISTRY OF DEFENCE, R & D ORGANISATION

DASARI HARITHA 88%

S.R.K.INSTITUTE OF TEHNOLOGY

MAHALAKSHMI NAGESWARAN 88%

LATENT VIEW ANALYTICS

AMBRISH GUPTA 88%

VISUAL IQ

MOHINI PRASAD MISHRA 88%

GANDHI ENGINEERING COLLEGE

RAJ KAMAL SRIVASTAV 88%

INFOSYS BPM

SHRADDHA JAIN 88%

INDIAN INSTITUTE OF TECHNOLOGY MADRAS

GAURAV SHANTILAL PANCHAL 88%

GOVERNMENT OF INDIA, MINISTRY OF DEFENCE, R & D ORGANISATION

SHIRSHENDRANATH PAUL 88%

G H RAISONI INSTITUTE OF ENGINEERING AND TECHNOLOGY,NAGPUR

Enrollment Statistics

Total Enrollment: 12802

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Assignment Statistics



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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.