Deep Learning Basic to Advanced


Department of CSE has launched value added Programme on Deep Learning basic to advances for Every learner under Center for Continuing Education (CCE). This course is designed to introduce the participants to the exciting area of Deep Learning. Starting from the basics of Neural Networks, powerful architectures and techniques in deep learning are introduced, such as Recurrent Neural Nets, Convolution Neural Nets, Adversarial Nets, and Generative model. The emphasis is on providing insight and feel for each technique, rather than the theory. A crucial part of this course is the hands-on sessions. About half the course time is spent on the hands-on sessions and demos. The hands-on sessions show how to program and implement various deep learning techniques in different realworld applications. Python based libraries are used throughout the course for software exercises. Lastly, demos show how to deploy the deep learning based models on embedded boards, such as Raspberry Pi and Jetson TK1/TX2.


Programme Objectives

  1. To excel participants in Deep-learning technology.
  2. To train and guide participants to do cutting-edge research in the areas related to the Deep learning.
  3. To grasp depth of Deep-Learning model creation and solve problem of real-life using DL.

**For WCE students the earned credits from value-added courses would also be reflected into their grade card as additional credits along with regular defined academic credits.

Course Content

  1. Introduction to Deep Learning
  2. Back propagation
  3. Image fundamentals
  4. Parameterized Learning
  5. Optimization Methods
  6. Convolutional Neural Networks (CNN)
  7. CNN Building blocks
  8. Deep learning-based object detection
  9. Sequence Models
  10. Generative Models
  11. Browser-based DL Model Inference using Java Script Inference edge device

Course Schedule and Evaluation


Date: 1st March to 31st March 2021
(Only on Saturday and Sunday)



Venue for Classes


Online Mode: Lectures will be conducted in online mode through Google meet, Microsoft teams etc.



Faculty/Speakers


No. Name Organisation Affiliation
1 Dr. Meghshyam Prasad Target Wallmart Principal AI Scientist
2 Prof. Kiran P. Kamble WCE, Sangli Asst.Professor
3 Prof. Nandini Mudegol WCE, Sangli Asst.Professor
4 Prof P. D. Mundada WCE, Sangli Asst.Professor
5 Prof. Hetal V. Gandhi WCE, Sangli Asst.Professor
5 Prof. V. N. Honamane WCE, Sangli Asst.Professor

Important Dates

  1. The course will be organized during 1st March to 31st March 2021.
  2. Deadline for submitting application: 27th Feb 2021.
  3. Notification of acceptance: 28th Feb 2021

Note: Incomplete application forms will not be entertained. Please fill the form carefully.


Eligibility for Course Registration

Faculty & Students from any branch of Engineering or Science, Researchers, and Industrial Practitioners can attend and benefit from this course. Familiarity with college level mathematics is desirable.


Eligibility for Course Certificate

All participants who have successfully attended the sessions and completed the assignments within given time and who have passed the final exam (which will be scheduled at the end of course) with 40% marks they will be eligible for certificate.
Final score will be calculated as: 70% marks secured in final exam and 30% from assignment score.


Registration

Candidates should complete the registration by submitting the form online (the link is given below). Candidate need to pay registration fees online. A link for online payment is also provided below. Confirmation of eligible candidates will be on a first come first served basis.


Registration Fees


Sr. Type of Participant Fees (Rs.)
1 Outside WCE PhD students and faculties 3000/-
2 Outside WCE PG students 2500/-
3 Outside WCE UG and diploma students 2000/-
4 For WCE PhD students and faculties 2500/-
5 For WCE PG Students 2000/-
6 For WCE UG and Diploma students 1500/-

Account details

Bank of India, Vishrambag, Sangli
A/c No.: 150710110000187
IFSC: BKID0001507
MICR: 416013154


Link for Registration


For Registration, click here.


Course Coordinators

Mr. Kiran P Kamble
Mob: 7741017377
Email: kiran.kamble@walchandsangli.ac.in
Miss. Pooja D. Mundada
Mob: 7083818238
Email: pooja.mundada@walchandsangli.ac.in

Course Schedule


Note: Detailed course schedule will be displayed later on website



Enroll