Deep Learning and Applications
Principal Coordinator :
Prof Aparajita Ojha
Aug 23 to Sep 3 2021
|Joint Principal Coordinators :|
Dr. Santosh K. Vipparthi
Dr. Prithwijit Guha
Dr. M P Singh
Prof RBV Subramanyam
Dr. Amey Karkare
Dr Raksha Sharma,
Last Date of Registration: 18 Aug 2021
Introduction to Machine Learning & Artificial Neural Networks: Overview of machine learning, Supervised and unsupervised learning , Artificial Neural Networks, Feedforward Neural networks, Gradient Descent and the back propagation algorithms, Regularization and Optimization. Difference between typical machine learning and deep learning Practice Session: Introduction to Python Programming, Tensorflow and Keras. Making a Neural Network, training and testing. Saving the best weights and model
Convolutional Neural Networks: Convolutional Neural Network (CNN), Convolution/Pooling layers, Activation maps, CNN as a feature extractor, Some Standard CNN architectures like AlexNet, VGGNet, GoogLeNet, ResNet and more recent networks Practice Session: Building a CNN model, CNN for image classification. Using Googel Colab for building and training Deep Learning Models.
Autoencoders and Generative Adversarial Networks: Autoencoders (AEs), Undercomplete and Overcomplete AE, Convolutional AE, Regularization, Sparsely regulated AEs, Denoising and Stacked AE. Generative Adversarial Networks (GAN), Variants of GAN. Practice Session: Using pretrained models, Transfer learning, Applying GoogleNet and ResNet for specific problems. Using Autoencoders
Recurrent Neural Networks: Brief Introduction to Recurrent Neural Networks, LSTM, GRU and their applications in machine translation, language modelling and sentiment classification.
Practice Session: Building an AI application for sentiment classification from travel\hotel website user feedback data.
CNN Application to Classification and Detection problems: Object detection algorithms, R-CNN, Faster R-CNN, YOLO and SSD. Hands on– Object detection. Practice Session: Installing Darknet framework on your laptop, how to use YOLO for object detection.
- Online / Live lectures sessions by subject experts.
- Comprehensive tutorials and practice notes.
- Online lab and training sessions.
- Follow up sessions and discussion forums on research problems and internships.
Course Fee Details:
Academic (student/faculty): 500 INR
Industry People : 1000 INR
Others : 1000 INR
Foreign Participants: 4000 INR
Online payment details:-
Bank Name: INDIAN BANK
A/C No. : 50302042708
IFSC Code: IDIB000M694
Branch: Mehgawan, IIITDM Branch
Core Team Members, E&ICT Academy:
Prof Aparajita Ojha
Prof. Vijay Kumar Gupta
Prof. P.N. Kondekar
Dr. Atul Gupta
Dr. Prashant Kumar Jain
Contact us :
Electronics and ICT Academy
PDPM Indian Institute of Information Technology,
Design and Manufacturing, Jabalpur,
Dumna Airport Road, Jabalpur 482005
Phone:+91-8458849734 ; 0761-2794255