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Workshop on Machine Learning & Deep Learning in Computer Vision Applications at VIT Vellore

Workshop on Machine Learning & Deep Learning in Computer Vision Applications at VIT Vellore Mar 27-28






Machine learning and Deep learning is a fast growing research area which deals with analysis and design of automated computer based algorithms for yielding efficient representations of data at various evels. Deep learning is attaining incomparable levels of accuracy—to the extent that the deep learning algorithms are able to overtake humans at classifying images or videos. This workshop will facilitate deep learning and computer vision researchers, faculties and industry executives to share their expertise and knowledge with participants. In addition, this workshop provides a road map to choose their research problem for beginners






1. Overview of machine & deep learning
2.Python libraries -introduction & installation
3.Machine learning:

  • Supervised & unsupervised algorithms
  • Bias/variance, over-fitting/under-fitting
  • Regularization, optimization, Gradient descent
  • ML applications hands-on.

4.Deep learning:

  • Deep neural networks
  • Convolutional neural networks
  • Recurrent neural networks
  • Long short term memory networks
  • Auto encoders
  • Generative adversarial networks
  • DL applications hands-onusing Anaconda,Tensor flow & Keras




Eminent Speakers from DRDO, IIIT, NIT, Central University, Industrial Expert and VIT will impart their expertise with hands on training.




Faculty members working from Medical, Engineering and Arts Colleges, Research scholars, Students, Industry Persons from relevant background of Sciences and Engineering.






VIT is one of the fastest growing institutions, and is emerging as a center of excellence in technical education. VIT is structured around nine schools of study. A student is registered in one of the zchools, depending on the degree/programme he/she is interested in pursuing. Research centers are also part of the schools, encouraging interdepartmental collaboration and opportunity for students to participate in exciting research projects. VIT offers 18 Undergraduate and 35 Postgraduate programmes, apart from research programmes leading to M.Phil and Ph.D degrees. It has over 20, 000 students, about 1000+ faculty members and about 1000+ administrative and supporting staff. The international linkages of the institute help the students to get global exposure. The VIT campus, spread over 350 acres is located at Vellore, a district headquarters town between Chennai and Bangalore. The strategic location of VIT adds value to the education enabling constant interaction with the industry and research organizations.VIT has been ranked as No.1 Private Engineering Institution in India by the Ministry of Human Resource Development, Government of India (NIRF-2018 ranking). VIT is the first educational institution in India to get ISO9002 certification by the DNV of The Netherlands. The University was recently reaccreditated for the third cycle by NAAC (UGC). VIT has signed Memorandum of Understanding with many institutions within India and abroad including Australia, Canada, France, Germany, UK and USA.







History of computing discipline at VIT dates back to 1993, when the Department of Computer Science and Engineering was established to meet the demand for well-qualified computer professionals. Subsequently, the Departments of computer Applications and Information Technology were established. The School of Computing Science and Engineering was conceived in the year 2004-05 and came into existence by consolidating the achievements and core strengths of the aforesaid departments. Later, it was bifurcated into two schools, SCSE and SITE in the year 2009. The School offers research programmes such as M.S. (by research), Ph.D. and B.Tech (CSE) Engineering, MSc, and B.Sc. programmes which have been accredited by Institution of Engineering & Technology, UK (IET) during the year 2004-05. The B.Tech (CSE) and other courses are accredited by the Engineering Accreditation Commission of ABET www.abet.org). The school has some of the best infrastructure including domain-specific laboratories associated with the technical divisions. Many of these labs are sponsored by industry leaders like IBM, Intel, Cisco, Sun Microsystems, and Microsoft. The School has a good record of organizing seminars, workshops, symposia and conferences in emerging technological areas.






1. Dr. K. Rajakumar
Contact No: 9894079434
Email: rajakumar.krishnan@vit.ac.in


2. Prof. S. Rajkumar
Contact No: 9840058628
Email: rajkumars@vit.ac.in






Dr. G. Viswanathan, Chancellor
Mr Sankar Viswanathan, Vice President
Dr. Sekar Viswanathan, Vice President
Mr. G. V. Selvam, Vice President
Ms. Kadhambari S. Viswanathan, Assistant Vice President
Dr. Anand A Samuel, Vice Chancellor
Dr. S. Narayanan, Pro-Vice Chancellor






Participants are requested to register by filling the google online form before the deadline / filling in the accompanying slip and sending the same to the Organizing coordinators. The registration fee (nonrefundable) is as follows:


  • Industry Persons Rs. 1000/-
  • Faculty and Research Scholars Rs.800/
  • Students 600/-
  • Mode of payment:
    Online link : https://events.vit.ac.in/


DD drawn in favour of “VIT” – payable at Vellore along with the registration form. Interested participants can register through google forms in the following link https://goo.gl/forms/AhppVPatcF8oc0o32




Last date for receipt of application: 23/03/2020
Intimation of selection : 24/03/2020
Workshop Dates : March 27th to 28th, 2020



For more details refer the Official Website :https://vit.ac.in/


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