Verify Account

A Verification Code has been sent to you registered email address shown below. Please enter the code to verify your account. You may edit the email address, if it is incorrect

Resend Code

Note: Please check your Spam or Junk folder, in case you didn't receive the email with verification code.

Deep Learning Architectures for Computer Vision DLACV 2022

Institution Branded Mobile App

Institution Branded Mobile App

Deep Learning Architectures for Computer Vision DLACV 2022


Mepco Schlenk Engineering College

Event Location

Mepco Schlenk Engineering College

Start Date & End Date

12-Dec-2022 - 16-Dec-2022


09:30 - 17:00


Deep Learning Architectures for Computer Vision DLACV 2022

Deep learning, a subset of machine learning (ML) in artificial intelligence (AI) has revolutionised computing power in every region of the world. Deep Learning is heavily used in the academia to study intelligence and in the industry for building intelligent systems to assist humans in various tasks. The main theme of this Faculty Development Programme(FDP) is to explore deep learning algorithms performing pattern recognition tasks better than conventional machine learning based approaches. This FDP will bring together experts and researchers working in Machine Learning and Deep Learning domain to unravel new concepts, tools, advances and challenges in AI upgraded technology infrastructure and solutions to computer vision tasks. This FDP will serve as an intellectual and informative platform to witness the best practices and projects carried out using deep learning. Participants will experience the power of deep learning through hands-on sessions in MATLAB and Python programming. At the end of this FDP, they will be able to develop deep learning architectures for their application specific problem domains.

The FDP topics include

« Machine Learning to Deep Learning Paradigm Shift.

« Recurrent Neural Networks for Sequence Learning Problems like Natural Language Processing and Speech Processing.

« Convolutional Neural Networks for Pattern Recognition Problems.

« Advanced Deep Learning Models for Data Synthesis Deep learning techniques for Research Applications.

Contact Details

Phone : 04562 - 235408,8072698714,9487515260 (WA)


Mepco Schlenk Engineering College

Similar Events you may like