Background
ICAR-Central Institute of Fisheries Education (CIFE), in over its 50 years of existence, has emerged as a centre of excellence in higher education in fisheries and allied disciplines. The Institute was established on 6th June 1961, under the Ministry of Agriculture, Govt. of India with assistance from FAO/UNDP. It came under the administrative control of Indian Council of Agricultural Research (ICAR) in 1979. Considering the wide mandate involving education, research and extension and recognizing the pivotal role played by CIFE in human resources development in fisheries, the institute was conferred the status of Deemed-to-be-University in 1989. The institute with its core strength in quality teaching, research extension and training has become a brand name in fisheries higher education.
In the past, ICAR-CIFE has conducted various training programmes in the field of Artificial Intelligence (AI) and Big Data Analytics. In addition, many courses related to machine learning and AI are offered at M.FSc and Ph.D level at this Institute. Students and faculty are working in different dimensions of machine learning and computer vision as a research work.
It is noted that the machine learning strategies in computer vision are supervised, un supervised, and semi-supervised. The commonly used algorithms are neural networks, means clustering and support vector machine, Bayesian classifier, decision tree. The most recent applications of machine learning in computer vision are object detection, object classification, and extraction of relevant information from images, graphic documents, and videos. Additionally, Tensor flow, Faster-RCNN-Inception-V2 model, and Anaconda software development environment used to identify different objects, their tracking and
extracting information from it. This course is designed in such a way that it will have
theory and practical session. In the practical sessions learning-by- doing and hands-on activities will be included.
Course content will include following.
Brief about machine learning and computer
vision.
Exposure to different development tools and
library in Python environments.
Different machine learning algorithms (Neural
networks, k-means clustering and support vector
machine, Bayesian classifier, decision tree)
Introduction to computer vision.
Object detection, classification and extraction of
information using R-CNN, F-CNN, YOLO etc.
Duration
27th May to 1 st June, 2024 (6 days)
(Daily 5-6 hours with both theory and
practical session from 10.30 am to 5pm)
Who should attend?
Scientists/Faculty/Technical Officers from ICAR/SAU/CAU/University, Masters and PhD scholars from ICAR/SAU/CAU/University. Participants who possess some prior knowledge of machine learning and computer vision will be an added advantage. The participants are required to have a Desktop/Laptop with good internet connection.
Read more: https://www.cife.edu.in/pdf/Events/ML_DL%20training_brochure–26-4-2024.pdf
Original link: https://www.cife.edu.in/
