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STC on Deep Learning (12.09.22 to 16.09.22)

NITTTR Chandigarh Organizes Contact Mode STC on Deep Learning from 12.09.2022 to 16.09.2022 Oplan CSE-06

How to Apply :

All Participants have to register through the Online FDP Portal. Please visit our Online FDP Portal : https://fdp.nitttrchd.ac.in/ and follow the steps.
The steps are self-explanatory. In case of any difficulty you may contact us.

Course Fee, Accommodation & Fooding:

For Faculty/Staff from AICTE approved technical institutions (Engineering colleges/Universities/ Polytechnic colleges) : Participants have to pay a Course Fee of Rs.118/- while registering for the Course through Online Portal and Free boarding and lodging will be provided to them.
For Research Scholars of AICTE approved technical institutions : Participants have to pay a Course Fee of Rs.590/- while registering for the Course through Online Portal. They can avail Accommodation & Fooding facilities within our beautiful campus on payment basis of Rs. 350/- per day approximately.
For participants from Industry/Research Organizations/Educational Institutions (other than Technical Institutes) : Participants have to pay a Course Fee of Rs.5900/- while registering for the Course through Online Portal. They can avail Accommodation & Fooding facilities within our beautiful campus on payment basis of Rs. 350/- per day approximately.
TA/DA will be provided to participants from Govt Institutions.

Detail Contents

Introduction to Deep Learning
Essentials of Python and Deep Learning Libraries
Mathematics and Science of Deep Neural Network and Reinforcement Learning
Multilayer Perceptron, Visual Features, Representations and Matching
Deep Learning for Medical Image Analysis
Pre-Trained Models, Transformers and Ensemble Deep Learning
Implementation of YOLO, SSD and Deep Learning on Web Browser
Use Cases and Implementation of RNN, LSTM, GRU
Implementation of Deep learning for pattern recognition
Recurrent Neural Networks and Generative adversarial networks Implementation
Self-supervised Learning and Meta Learning

Schedule
DATE9:30 A.M. to 11:00 A.M. 11:30 A.M. to 1:00 P.M.3:00P.M. to 4:30 P.M. 12-09-2022Registration and Introduction to Deep Learning
Essentials of Python and Deep Learning LibrariesMathematics and Science of Deep Neural Network and Reinforcement Learning13-09-2022Multilayer Perceptron, Visual Features, Representations and Matching Deep Learning for Medical Image Analysis State-of-the-Art  Deep Learning Models for Object Detection and Localization
14-09-2022Activation Functions Pre-Trained Models, Transformers and Ensemble Deep Learning
Implementation of SSD, RNN, LSTM, GRU and YOLO Models 15-09-2022Implementation of Deep learning for pattern recognition Practice Session Real Time Bone Fracture Identification using Deep Learning 16-09-2022Generative Adversarial Networks (GAN) Implementation using Pytorch Self-supervised Learning and Meta Learning Case Study Demonstration, Feedback and Quiz