Online Certification Course on Deep Learning using Tensor Flow
03rd May – 13th May 2021 || Evening Batch – 4 PM to 7 PM
Conference Code: EICTIITR-Online-32
Experts from Academia/Industry
- 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
EICT Principal Investigator and Coordinator
Prof. Sanjeev Manhas
Certificates to participants by E&ICT Academy IIT Roorkee
Venue: Through Online Instructor-Led (Live Classes)
Why Deep Learning ?
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.
Last Date for Registration
April 30, 2021
Course Fees
Indian Institute of Technology Roorkee : Rs. 3000/- Others: Rs. 6000/- International: US $ 100
Note - Refund will be done in case of course cancellation only, with in 20 working days
Eligibility
All undergraduates/postgraduates /working professionals/ Faculty from Academic and Research Organizations
Course Coordinator
Prof. Kusum Deep, IIT Roorkee
How to Apply
You can apply online by Click hereto fill-up the application form OR you can Download form and email a scanned copy to eict@iitr.ac.in
Payment Mode
Offline: Demand draft drawn in favour of "Dean SRIC IIT Roorkee" payable at Roorkee For online Click here
Contact Details
Prof. Sanjeev Manhas (P.I., E&ICT Academy, ECE Dept, IIT Roorkee)
Prof. Kusum Deep, Mathematics Department, IIT Roorkee
Email: eict@iitr.ac.in
Tel: +91-9149130233, +91-1332 286457
Course Features
40+ Hours live instructor-led classes
Expert talks from industry
Career guidance sessions from the experts
3+ Hours of doubt clearing sessions
Access to learning material and video lectures
Lectures from IIT Roorkee, Hands-on sessions from industry experts
Certificates by E&ICT Academy IIT Roorkee
Focus Areas
- 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
- Projects and Assignments