Deep Learning and Applications

Prospective Experts:

  • Industry support from NVidia, MathWorks (MATLAB)
  • Dr. Anupama Ray, IBM
  • Dr. Ritu,Intel
  • Prof. R. Venkatesh Babu, IISc Banglore
  • Dr. Biplab Banerjee IITB
  • Prof. R. Balasubramanian, IITR
  • Prof. Aparajita Ojha, IIITDMJ
  • Dr. Partha Pratim Roy,IITR

May 27 - 31, 2019

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Program Schedule

Apply Online

Co- Principal Coordinator:
Prof. Aparajita Ojha
Phone: 0761-2794221

Last date extended upto May 24, 2019

Course contents:
Neural Networks (ANNs): Introduction to Deep Learning and Motivation. Brief introduction of Artificial Neural Networks (ANN), Perceptrons, Multilayer perceptron (MLP), Back propagation training for MLP, Stochastic gradient descent. Applications to some practical classification problems. Hands on: Demonstration and implementation of Shallow and Deep architecture, introduction to Python, Tensorflow and Keras.
Regularization, Hyperparameter Tuning and Autoencoders:Deep Feed forward Networks - Regularization - drop out, Minibatch gradient descent, RMSProp and Adam optimization. Autoencoders and Their Types Hands on: Hyper parameter tuning and regularization practice, Minibatch gradient descent, Autoencoders
Convolutional Networks : The Convolution Operation, Pooling, Basic architecture of a Convolution Neural Network, Variants of the Basic Convolution Model, Evolution of Convolution NN Architectures - AlexNet, ResNet and other architectures. Hands on : Convolution neural network application using Tensorflow and Keras, Autoencoders using CNN, Building an application for classification and feature extraction.
Sequence Modeling : Recurrent and Recursive Nets - Unfolding Computational Graphs, Recurrent Neural Networks, The Long Short-Term Memory and Other Gated RNNs. Hands on : Language modeling and machine translation, Chatbots.
Generative Adversarial Networks, Object Detection Algorithms : GAN and their variants- R-CNN , YOLO and SSD Hands on– Object detection, Realistic Image Generation and face recognition

Registration Fee and Accommodation:
Faculty and Research Scholars (PhD): Nil and free accommodation on sharing basis.
Others:Rs 3000 and extra nominal charges for accommodation and food.

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 :
Prof. Aparajita Ojha : +919425800334
Electronics and ICT Academy
PDPM Indian Institute of Information Technology,
Design and Manufacturing, Jabalpur,
Dumna Airport Road, Jabalpur 482005