Online Certification Course
on
Deep Learning using Tensor Flow

(01st April - 12th April, 2021)

Venue: Through Online Instructor Led (Live Classes)

Conference Code: EICTIITR-Online-32

Certificates to participants by E&ICT Academy, IIT Roorkee


Last Date for Registration: March 28th, 2021


Eligibility: Course is open to faculty members/ PhD researchscholars/ UG/PG students from academic/researchinstitutes and industry personnel.


Experts from Academia: Prof. Seydali Mirjali, Torrens University, Australia Prof. Kusum Deep, Indian Institute of Technology Roorkee, Prof. Assif Assad, Islamic University of Science and Technology, J&K, Prof. Khalid Pandit, Islamic University of Science and Technology, J&K, Prof. Rayees Ahmad, Islamic University of Science and Technology, J&K, Dr. Manash Konwar, AI Specialist at Accenture AI, Bangalore

Principal Investigator (E&ICT Academy, IIT Roorkee): Prof. Sanjeev Manhas

Course Coordinator : Prof. Kusum Deep, IIT Roorkee


Why DL?

Deep Neural Networks (Deep Learning) seek to replicate the way brain processes information. Imagine a progression of nodes (nodes), each encapsulating varying aspects of knowledge and with the ability to communicate back andforth. Deep learning represents the cutting-edge of machine learning in the design of intelligent systems that learn from complex, large-scale datasets. In recent years, interest in deep learning has escalated as emergent developments have enabled computers toperform tasks that were previously believed tobe limited to human capabilities of perception, cognition and effort.


Objectives of the Course

  • To impart key ideas, algorithm development, and applications of deep learning, including applications of deep learning in today's data science landscape.
  • To cover the vast area of deep learning spanning from the basics of neuron models to the latest approaches in the form of transformers like BERT.
  • Benefits and Outcomes of the Course

  • The participants of this course pursue knowledge about neural networks, applications, and research catering to the industry sector and society's needs.
  • To enhance technical knowledge and programming skills in diversified fields of engineering.
  • To develop an innovative project, address the present challenging problem.

  • Course Program

  • The program is split into lectures and lab sessions.
  • Quizzes and project work for enhanced learning.
  • Hands-on experience on basic & advanced- level topics.
  • Interaction & learning with experts from academia & industry.
  • Certificates to the participants by E&ICT Academy IITR.

  • Course Content
  • Introduction to Neural Networks
  • Modelling using Neural Networks
  • Feed Forward Neural Networks
  • Convolutional Neural Networks
  • Principal component Analysis and Auto encoders
  • Recurrent Neural Networks
  • Generative modelling (GANs and Variational Autoencoders)
  • Transformers, BERT
  • Important Details

    Last Date for Registration:
    March 28th, 2021
    Seats
    On first-come, first-served basis
    Duration
    10 days, 40 hours
    Registration Fee
    Indian Institute of Technology Roorkee : Rs. 3000/-
    Others: Rs. 6000/-
    International: US $ 100
    How to Apply
    You can apply online by click here to fill-up the application form OR you can download offline form and email scanned copy to eict@iitr.ac.in
    Contact Details
    Prof. Sanjeev Manhas (P.I., E&ICT Academy, ECE Dept, IITR)
    Prof. Kusum Deep (Department of Mathematics, IITR)
    Email: eict@iitr.ac.in
    Tel: +91-9149130233, +91-1332 286457

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