Advanced Deep Learning Techniques

13th - 18th May, 2019

Venue : KL University, Vaddeswaram

Who should attend

The programme is open to the faculty of engineering colleges and other allied disciplines in India. Industry personnel working in the concerned/allied discipline can also attend.

Course Content

• Introduction to Deep Learning
• Hardware and Software
basics for Deep Learning
• Deep Learning Frameworks &
ready-made networks
CNN, RNN, DNN, GAN, RCNN
• Approaches to manage Object
Detection, Classification
• Ways to deal with Image
Segmentation, Labelling
• Deep Learning Applications
• Optimization for
training Deep Models
Hands on session on the above topics will be provided

Duration and Venue

Duration: 6 Days
Start Date : 13th - 18th May, 2019
Last Date for Submission of application : 2nd May, 2019
Venue: KL University, Vaddeswaram

Registration Fee

Faculty and Research Scholars Rs. 2500/-
Faculty of SC/ST Category Rs. 1875/- (SC/ ST participants should submit their caste certificate to claim the concession along with application form)
Industry Participants Rs. 7500/-
SC/ST concession is only for Faculty. Research Scholars are not eligible for SC/ST concession.
The Participants need to send a crossed demand draft (DD) drawn in favour of "E & ICT Academy, NIT Warangal" and payable at SBH, NIT Warangal branch
or
On-line Mode:
Account Name: Electronics & ICT Academy NITW
Account No: 62423775910
IFSC Code: SBIN0020149

How to Apply

A filled-in form of application in the prescribed format duly signed and sponsored by appropriate authorities (along with demand draft) should reach the coordinator on or before the last date by post/courier. Participants are requested to write their name and contact number backside of demand draft. It is also mandatory to send scanned application form and demand draft through e-mail to shahanabano_cse@kluniversity.in as selection will be intimated only through e-mail.

Accommodation

All the outstation selected participants will be provided boarding & lodging in university hostels with nominal cost. No TA will be paid for the participants.

Address for Communication

Dr. Shahana Bano
Associate Professor, Dept. of CSE,
K L University,
Vaddeswaram, AP - 522502

Mobile: 8142621992
Email: shahanabano_cse@kluniversity.in