Deep Learning for Computer vision with Python (10 hours)

Python and Machine Learning Mastery >> Deep Learning for Computer vision with Python
How does Facebook automatically tag photos you have uploaded? How does a self-driving car identify if someone is walking on the road? Can we track a criminal across multiple cameras? How can we automatically turn old black and white photos into colour ones? All of these applications depend on computer vision. If you have wondered about this and would like to know, our hands-on course “Deep Learning for Computer Vision” is for you. 

 Multimedia streams abound in our everyday lives, in our work space and in our social interactions. Knowing how these images and video streams are analyzed will let you use these video and image streams in better ways for your products. 

Our course presents modern deep learning algorithms used in computer vision for a variety of practical tasks. Not only will you learn about how these methods work you will also learn how to code them on your own and use them on your own image applications. 

At the end of the course you will be able to write Python programs for a range of practical problems -- digit recognition, image recognition, locating objects in images, coloring black and white images, reconstructing partially destroyed images, etc. We will be introducing you to state-of-the-art algorithms for this in a practical manner. 

  1. Review of Python
  2. What is Computer Vision?
  3. What is the Modern Deep learning revolution?
  4. Introduction to Artificial Neural Networks
  5. Python Packages for Convolutional Neural Networks (CNNs)
  6. Introduction to CNNs
  7. CNN architectures
  8. Digit Recognition
  9. Image Recognition
  10. Object Localization 
  11. Image Segmentation
  12. Image colorization
  13. Image reconstruction
  14. A glimpse of more advanced topics
 Special features of the course
  1. The course will be offered in a mix of Tamil and English so that language is not a barrier to understanding. 
  2. It will consist of 10 hrs of lecture videos with practical code walkthroughs.
  3. There will be multiple unsolved exercises given for practice and to build your confidence.
  4. An intensive Final Project at the end of the course for your self-assessment.   
  5. An online Quiz to be taken at the end of the course for obtaining a certificate of completion.
Instructors -- The instructors are Dr Ganapathy Krishnamurthi and Dr Balaji Srinivasan. Both of them are faculty at IIT-Madras and are co-founders of Inuaid.  

When -- The course will be released on Aug 15, 2020. The course will be delivered via  recorded videos which you may watch at your own convenience.

Fee -- The course fee is Rs.3,000/-

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