Artificial Neural Networks & Deep Learning @ MVGR College of Engineering (A), Vizianagaram


Participants Information

Participants: 66
Speakers:05
Female participants:22
Male participants:44
Participants from SC/ST category:03
Research Scholars:01

Topics Covered

  • Introduction to ANN
  • ANN Basics, FF Networks
  • Introduction to NLP
  • Word Representation for Machine learning and Deep Learning
  • Multilayered Perceptron
  • Back Propagation in Neural Networks
  • Convolutional Neural Networks
  • Deep Learning with Tensorflow and Keras
  • Image Segmentation
  • Word-Embedding Models
  • Sequence Labeling
  • Applications of LSTM
  • Different CNN Models
  • Medical data applications using Deep learning
  • Object detection and action recognition

Highlights

List of Speakers

Prof. G. Rama Murthy, Associate Professor, IIITH, Hyderabad


Dr. M. Anand Kumar, Assistant Professor, NIT Surathkal


Dr. M. Srinivas, IIITH, Hyderabad


Dr. Nagesh Bhattu, Assistant Professor, NIT AP


Dr. M. Srinivas, Assistant Professor, NIT Warangal


Feedback Summary

  • The FDP was very much interesting as it was hands-on oriented.


  • The FDP was conducted effectively by having resource persons from academics.

    • Suggestions from Participants

  • Research problems as case studies should be included as part of FDP.