IIT Hyderabad is offering a free online course for IT specialists and understudies on Deep Learning for Computer Vision on the NPTEL stage.
Indian Institute of Technology Hyderabad has completed the applications for the free online course for Computer Vision on Deep Learning. The 12-week course can be taken up from July 26, 2021, to October 15, 2021. The evaluation will occur on October 24, 2021, for which the customers can pay Rs 1000 and after it, they can obtain the statements from NPTEL and IIT Hyderabad. The last date of enrollment for the free online course is August second, 2021.
Accomplice Professor Vineeth N Balasubramanian from the part of Computer Science and Engineering from IIT Hyderabad will coordinate the course. He is moreover the Head of the Department of Artificial Intelligence.
Plan covered in the free online Deep Learning course
The course offers a cognizance of Deep Learning for the individuals related to standard Computer Vision subjects. It will in like manner fuse the basics for the individuals that can allow them to be fit in applying the new strategies to genuine applications. Here are the huge focuses that will be covered:
• Visual features and depictions - corner area, masses, edge, scale assurance, scale space, LBP, HoG, SURF, SIFT, etc
• Introduction to picture game plan, liner isolating, catch and depiction, convolution, and relationship.
• Review of Deep Learning, backpropagation, multi-layer perceptrons, etc
• Visual Matching - RANSAC, VLAD, Bag-of-words, pyramid planning, hough change, and optical stream.
• Deep generative models - Normalizing, NADE, PixelRNNs, and other Generative models, significant generative models like VAEs and GANs.
Who can participate in the free online course
The post-graduate and senior school understudies can participate in the course with the pre-prerequisites:
• Completion clearly in Deep Learning
• Basics course in Machine Learning
• Exposure to focuses in Neural Networks (proposed)
• Experience in programming and cognizance of Python
• Knowledge in direct polynomial math, probability, examination, etc
Fascinated individuals can get the indispensable information on the position site.
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