Deep Learning with AI Applications @ NRI Institute of Technology, Agiripalli



Participants Information

Participants: 40
Speakers:08
Female participants:18
Male participants:22
Participants from SC/ST category:NIL
Research Scholars:NIL

Lab Sessions

  • Tensor Flow

Topics Covered

  • Artificial Intelligence
  • Deep Learning
  • Case Studies
  • Supervised Learning
  • Keras
  • RNN and LSTM
  • AI Cognitive Computing
  • Overview of CNN and SAE
  • Introduction to action recognition
  • Vision based action recognition
  • Backpropogation Networks
  • Machine Learning Basics
  • Feature Extraction Techniques
  • Medical Data Applications using Deep Learning
  • Data Driven Method
  • Data Driven Applications
  • Optimization Methods
  • ANN
  • Multi Layered Perception
  • Hopfield Associative Memory
  • Future of Machine Learning

Highlights

List of Speakers

Dr. Kumar Rajamani, Manager, Robert Bosch, Bengaluru


Dr. Sridhar. T. R, Senior Product Line Manager, VMware Software Company


Dr. Ch. Surya Kiran, Associate Professor, NRI Institute of Technology & Sciences, Vijayawada


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


Dr. K. V. Sambasivarao Professor, NRI Institute of Technology & Sciences, Vijayawada


Dr. Mettu Srinivas Assistant Professor, NIT Warangal


Dr. D. Sunitha Associate Professor, NRI Institute of Technology & Sciences, Vijayawada


Dr. G. Ramamurthy Professor, Mahendra Ecole Centrale

Feedback Summary

  • Excellent Program and its conduct.
  • Introduction to Machine Learning and Deep learning concepts were very interesting.
  • Session on Applications of AI and Machine Learning was excellent.
  • Deep Learning concepts are very good and informative.
  • Suggestions from Participants

  • Required more time for hands on session related to Matlab/Keras.
  • Some more real time examples can be added for Deep Learning.