One Week
Faculty Development Program
on
“Deep Learning: Concepts and Applications”
Dec 16 – 21, 2019
Under
Technical Education Quality Improvement Programme (TEQIP III)
Course Content:
- Introduction to Machine learning.
- Introduction to Neural Networks.
- Deep Learning.
- Optimization and Regularization Techniques.
- Introduction to CNN.
- CNN Architectures.
- Deep learning hardware and software.
- CNN for object detection and character recognition.
- Motion estimation in Videos.
- Recurrent neural network.
- Video analysis in the context of human Action recognition in videos.
- Autoencoders.
- Generative adversarial network.
- Image dehazing using autoencoders and GAN.
COURSE PARTICIPANTS
Faculty, students from engineering colleges (preferably for the benefit of the new entrants in this field) and Practicing Engineers from Industries.
IMPORTANT DATES
Duration of FDP: 16thDec. to 21st Dec. 2019.
Last date of registration: 14thDec. 2019.
Note: Participants will be informed about their selection through Email.(Limited Seats are available. Selection will be
done on First come First Served basis.)
REGISTRATION FEES
Faculty from Engineering Colleges: Rs. 3,000.
Research scholars from Engineering Colleges: Rs. 1,500
Industrial participants: Rs. 7,000.
(Amount in Rupees/participant.)
Note: No TA/DA will be admissible to any participant.
Faculty, Research Scholars, UG and PG Students from SGGS: Free.
Faculty, Research Scholars, UG and PG Students from CoT Pantnagar:Free.
HOW TO APPLY
1. Draw a Demand Draft of any nationalized bank in favour of “Director,SGGSIE&T, Nanded” payable at Nanded.
2. Fill online application form which is available at Events Section of www.sggs.ac.in.
3. To confirm participation please send scanned copy of Demand Draft to gmgalshetwar@gmail.com.
4. Write down your Name and Contact No. on the back side of Demand Draft and submit it along with the hard copy of Registration Form also Apply Through Online Form.
Brochure [[Click here]]
Registration Form [[Click here]]
Apply online [[Here]]
Course Coordinator
Dr. Anil B. Gonde,
(Associate Professor)
Department of Electronics and Telecommunication Engg.
Mobile No.:(+91)-9405691645
Email Id: abgonde@sggs.ac.in
Any Queries?
Mr Gajanan M Galshetwar,
(Research Scholar)
Mobile No.: (+91) 9421759142
Email Id.: gmgalshetwar@gmail.com
Note: No accommodation will be provided for the participants. Participants have to make their own arrangements for lodging as well as food.