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.
**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.
Online Mode: Lectures will be conducted in online mode through Google meet, Microsoft teams etc.
| 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 |
Note: Incomplete application forms will not be entertained. Please fill the form carefully.
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.
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.
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.
| 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/- |
Bank of India, Vishrambag, Sangli
A/c No.: 150710110000187
IFSC: BKID0001507
MICR: 416013154
For Registration, click here.
Note: Detailed course schedule will be displayed later on website