Shri Ramdeobaba College of Engineering and Management, Nagpur was established in 1984, Shri Ramdeobaba College of Engineering and Management is the educational institution offering 30 undergraduate and postgraduate engineering courses. It is located at Gittikhadan of Nagpur. The college has been accredited with “A” grade provided by National Assessment and Accreditation Council. College has secured 119th position in India based on the NIRF 2021 Ranking. The college has been affiliated to Rashtrasant Tukadoji Maharaj Nagpur University. The college has collaborated with international universities such as University of Florida USA, University of Massachusetts Lowell USA, Rochester Institute of Technology USA, etc.
Description
Online Faculty Development Programme (FDP) ON AI & Machine Learning for Computer Vision Applications (1st December – 8th December 2021) Organised by Electronics & ICT Academy, NIT Warangal in association with Shri Ramdeobaba College of Engineering and Management, Nagpur (Sponsored by Ministry of Electronics and Information Technology (MeitY), GOI)
Event Introduction
The FDP on AI & Machine Learning for Computer Vision Applications Focuses on providing an introduction on the impacts of Deep learning and Artificial Intelligence for CV applications. The FDP will help to disseminate the knowledge in the domain of computer vision, ML and Deep learning. It empowers the participants to understand how AI/ML, data science can be used to innovate and improve the business process. AI techniques are widely used for many applications such as Biometrics, Medical Imaging Processing, Natural Language Processing, and so on. This course will give the basics of AI concepts with applications to computer vision. It will help to upgrade the expertise and capabilities of the faculty members of various engineering institutions in India Experts cover a range of contemporary computing topics and provide with a strong theoretical basis, as well as develop critical analysis and practical skills. This FDP brings you a taste of technology and generate a quick start interest to work with future technologies.
Topics to be Covered
This programme will cover the following topics:
☆ Introduction to Trends and State-or Arts implementation for Computer Vision applications
☆ Introduction to Artificial Intelligence, Machine Learning, Deep Learning, Representation Learning
☆ Machine Learning Basics, Working with data preprocessing and data visualization using python.
☆ Deep Learning Regularization Techniques: L1, L2, Noise Injection, Data Augmentation, Dropout, Ensemble, Parameter Sharing, etc.
☆ Basics of Tensor Flow/Keras/PyTorch
☆ CNN Architectures for CV implementation.
☆ Deep learning based other Architectures
☆ Object detection/Tracking Yolo, RCN and FRCNN
☆ Computer Vision Applications: Image Classification, Object Recognition and detection using Tensor Flow/ PyTorch
☆ Image Segmentation , UNET, RNN Architecture and LSTM
☆ Computer vision and AI algorithms implementation on Hardware platform like Jetson Nano, TX2 etc.
☆ Biometrics detection, biomedical imaging, Action Recognition and Multi-view activity recognition using Deep Learning in MATLAB /Python
☆ Hands-on Session using Python / MATLAB
☆ Current Research – Latest Architectures, Transformer etc.
Registration Fee
Faculty and Research Scholars Rs.750/-
Industry Participants Rs.2250/-
How to Apply
◆ Candidate should submit an online application by clicking the Apply Online. Participants need to fill up the online application form by using the link given below with all the required details.
Participants are required to fill the online registration form by
clicking on the following link:
https://forms.gle/C5VHEiDUGZwJ4yq96
Procedure for Registration
- Fill in Applicants Information, Personal Information, Institutional Information, Transaction Details, Email, Contact Number and Corresponding Address.
- The Star Marked details are mandatory (*).
- Check Summary Page before submission.
Important Date
- Last date for registration is 22.11.2021
- Event date 01.12.2021 to 08.12.2021
For Additional Information
Organizer Information 🇮🇳
Shri Ramdeobaba College of Engineering and Management, Katol Rd, Lonand, Gittikhadan, Nagpur, Maharashtra 440013
Dr. Jagdish D. Kene,
Assistant Professor, Department of ECE
RCOEM Nagpur, Maharashtra, India-440013.
Mobile: +919423407300
Email: kenejd@rknec.edu
Highlights
- Eight Day Faculty Development Programme Organized by Shri Ramdeobaba College of Engineering and Management
- Learn About Advanced AI & Machine Learning for Computer Vision
- Faculty Development Programme for Faculties/ research scholars/ PG students and Industry employees