IIRS , ISRO Workshop on "Machine learning to Deep Learning"

IIRS , ISRO Workshop on "Machine learning to Deep Learning"

Overview: 

  • Indian Institute of Remote Sensing (IIRS) is organizing one day workshop on “Machine learning to Deep Learning: A journey for remote sensing data classification”.
  • IIRS invites you to attend this five days short course on Machine learning to Deep Learning: A journey for remote sensing data classification The short course is scheduled for June 1, 2020..

 

 

Date of Workshop:

July 5 - 9, 2021

 

 

Course Content:

  • Remote Sensing and its sensors of various resolutions. Radiometry and Geometric corrections and Basic understanding of Image.
  • Basic classifier to Machine Learning – A Journey
  • Methods in Machine Learning: Supervised, Unsupervised, and Reinforcement.
  • Fuzzy-based machine learning with application in Temporal data processing.
  • Network-based Learning algorithms – ANN to CNN/RNN

 

 

Who can Participate?

  • This short course is designed for professionals engaged in remote sensing data processing in different applications.

 

 

Registration:

  • To participate in this program the interested organizations/ universities/ departments/ Institutes have to identify a coordinator at their end. The identified coordinator will register online his/her Institute as a nodal center in the IIRS website.
  • All the participants have to register online through the registration page by selecting his/her organization as the nodal center.

 

 

Important Points:

  • Date of Workshop: May 12, 2021
  • Workshop Fees: There is no course fee for attending this program
  • Pre-requisite: Understanding of Basic concepts of Remote Sensing and GIS
  • All the participants who attend 70% of sessions of the course live via the e-class portal.
  • The participants who attend the course sessions via the IIRS youtube channel should mark their attendance via offline sessions available after 24 hrs.

Join WhatsApp Group: Link


Online Quizzing Festival Season 6

Related Posts