Machine Learning and Deep Learning for Realtime Applications - Online Mode

Participants Information

Participants: 92
Speakers:08
Female participants:33
Male participants:59
Participants from SC/ST category:None
Research Scholars:05

Topics Covered

  • Over view of Machine learning Algorithms
  • Anaconda IDE Installation and Python programming
  • Linear regression and Multiple Linear regression and Applications
  • Implementation of Simple and Multiple Regression using python programming
  • K-means Clustering algorithm and Image quantization
  • K-means Clustering algorithm and implementation using python programming
  • Support Vector Machine & Applications
  • Introduction to Deep Neural Networks
  • Implementation of ANN using python
  • Convolutional Neural Network And Digit recognition
  • Implementation of CNN Using Python
  • Introduction to Generative Adversial Networks
  • Real time Implementation of Face recognition on NVIDEA, JETSON NANO Board
  • Cost functions and DCGAN
  • Applications of Deep neural networks for Speech processing Applications

Highlights

List of Speakers

Dr. Ravi Kumar Jatoth, Associate Professor, NIT Warangal
Dr. M. Satish, Assistant Professor, NIT Warangal
Prof. Sumohana, Professor, IIT Hyderabd
Dr. M. Srinivas, Assistant Professor, NIT Warangal
Dr. Rama Krishna Sai Gorthi, Associate Professor, IIT Tirupati
Dr Kadambari, Associate Professor, NIT Warangal
Dr. Swagatam Das, Associate Professor, Indian Statistical Institute, Kolkata
Dr. Anil Kumar Vuppala, Associate Professor, IIIT Hyderabad


Feedback Summary

  • All sessions are excellent, looking forward for such type of interactive sessions in future.

  • The program was excellent. Participants learned new ML technology in Image processing.

  • Well planned FDP and covered so many topics related to current research trends.

  • All topics were very informative and excellent.

  • Suggestions from Participants

  • Assignmemts should be given for each and every session.

  • It would be better, if u can add some more practical sessions.