Deep Learning and its Applications @ Vasavi College of Engineering (Autonomous), Hyderabad

Participants Information

Participants: 40
Speakers:06
Female participants:24
Male participants:16
Participants from SC/ST category:07
Research Scholars:08

Lab Sessions

  • Deep Learning Basics with Tensorflow
  • LSTM with Tensorflow and Keras

Topics Covered

  • Machine Learning Basics
  • Feature Extraction Techniques
  • Medical Data Applications using Deep Learning
  • Overview of CNN and SAE
  • Introduction to action recognition
  • Vision based action recognition
  • Multi modal action recognition
  • Introduction to ANN
  • Multi Layered Perceptron
  • Hopfield Associative Memory
  • Future of Machine Learning
  • Convolution Neural Networks
  • Recurrent Neural Networks Basics
  • Data Driven Applications
  • Optimization Methods
  • Deep Learning: Industry State of art technologies
  • Case Studies

Highlights

List of Speakers

Dr. Kumar Rajamani, Manager, Robert Bosch, Begaluru


Dr. Ravi Sankar, Research Scholar, IIT Hyderabad


Dr. I. Earnest Paul, Assistant Professor, NIT Warangal


Prof. Challa Subhahmanya Sastry, Professor, IIT Hyderabad


Dr. Mettu Srinivas, Assistant Professor, NIT Warangal


Dr. G. Ramamurthy, Professor, Mahendra Ecole Centrale, Hyderabad


Feedback Summary

  • Excellent speakers with great enthusiasm of sharing their knowledge with the participants.
  • The speakers opted for sessions were excellent and supportive. Their expertise made the program more effective and interactive.
  • The session was full-fledged informative.
  • Professors from IIT Hyderabad gave valuable inputs.
  • Suggestions from Participants

  • Required more time for hands on session.