NITTTR Chandigarh Organizes Contact/Hybrid Mode STC on Deep Learning from 27.02.2023 to 03.03.2023, Oplan CSE-17
Online Registration Link https://fdp.nitttrchd.ac.in/backingup/
Schedule
DATE | 10:00 A.M. to 11:30 A.M. | 11:30 A.M. to 1:00 P.M. | 3:00P.M. to 4:30 P.M. |
27.02.2023 | Registration and Introduction to Deep Learning | Data-Specific Deep Learning Models: A Design Framework | Essentials of Python and Deep Learning Libraries |
28.02.2023 | Implementation of Pre-Trained Models and High Performance Deep Learning Transformers | Activation Functions | Convolutional neural networks and their implementation using Pytorch |
01.03.2023 | Implementation of SSD, RNN, LSTM, GRU and YOLO Models | Ensemble and Federated Deep Learning | Self-supervised Learning and its implementation using Pytorch |
02.03.2023 | Neural Style Transfer and Vision Transformer for Image Classification | Hands-On Session | GAN and Meta-learning Implementation using Pytorch |
03.03.2023 | Reinforcement Learning with Transition to Q-Learning | Fine-grained Image Analysis for Facial Expression Recognition using Deep CNNs | Case Study Demonstration, Feedback and Quiz |
Brief Contents
Introduction to Deep Learning
Data-Specific Deep Learning Models: A Design Framework
Essentials of Python and Deep Learning Libraries
Implementation of Pre-Trained Models and High Performance Deep Learning Transformers
Activation Functions
CNNs and Self-supervised learning and its implementation using Pytorch
Implementation of SSD, RNN, LSTM, GRU and YOLO Models
Ensemble and Federated Deep Learning
Meta-learning and its implementation using Pytorch
Neural Style Transfer and Vision Transformer for Image Classification
GAN Implementation and Time series Forecasting
Reinforcement Learning with Transition to Q-Learning
Fine-grained Image Analysis for Facial Expression Recognition using Deep CNNs
Case Study Demonstration, Feedback and Quiz
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