NIT Calicut: e-workshop on GAN Art - Introduction to Generative Adversarial Networks, Apply by May 15, 2021
GAN Art - Introduction to Generative Adversarial Networks
NIT Calicut
Overview:
Department of Computer Science and Engineering, NIT Calicut is organizing an online workshop on "GAN Art - Introduction to Generative Adversarial Networks".
Through hands-on coding sessions, they plan to teach how to develop a GAN to generate unseen images. It will be useful to the students and research scholars to solve their research problems using GAN.
Contents:
Day 1
- Introduction to Deep Neural Networks
- Introduction to Convolutional Networks
- Medical Image Synthesis
- Deep learning with Python.
Day 2
- Generative models
- Introduction to GANs
- Types of GANs.
- Implementation of GAN. (Hands-on)
Day 3
- Training GANs on GPU
- Image to Image Translation
- Applications and case studies of GANs
Eligibility:
- Faculty, Ph.D. Scholars and PG Students from AICTE approved technical institutions.
Speakers:
- Dr. Mahesh R Panicker, IIT Palakkad
- Dr. Jeny Rajan, NIT Surathkal
- Dr. Jayaraj P B, NIT Calicut
- Dr. Pournami P N, NIT Calicut
- Dr. Niyas P, MVR Hospital, Calicut
- Mr. Ivan Biji, Microsoft Bangalore
- Mr. Abdul Fathaah, Secretary, AI Club
- Mr. Akash Raut, Convenor, AI Club
- Mr. SaiManoj Akondi, AI Club Executive
- Mr. Gokul Prasad, AI Club Executive
- Mr. Joel M Cherian, AI Club Executive NVIDIA
Registration Fees:
| Faculty from Academic Institutions | Rs 2500/- + 18% GST |
| Research Scholars/PG Students | Rs 1500/- + 18% GST |
| Industry/ Research organizations | Rs 3000/- + 18% GST |
It can be paid using NEFT:-
| Account Name | Director, NIT Calicut |
| Account No. | 37618269594 |
| Bank | State Bank of India |
| Branch | CREC, Chathamangalam, Kozhikode |
| Branch Code | 002207 |
| IFSC | SBIN0002207 |
| MICR Code | 673002012 |
Duration: 20th - 22nd May 2021
Last Date:
- Last date for receiving the online registration form: 15 May 2021
Certification:
- On completion of the program, participants will be awarded an E-Certificate.
- Minimum 80% attendance at the end of the workshop is compulsory for certification.