Deep Learning and Its Applications @ PVP Siddhartha Institute of Technology, Vijayawada

Participants Information

Participants:	40
Speakers:	05
Female participants:	15
Male participants:	25
Participants from SC/ST category:	08
Research Scholars:	03

Lab Sessions

• Python Programming, Numerical Computation with Numpy
• Hands on session using Tensorflow

Topics Covered

• Introduction to Deep Learning, ANN Basics, Multi Dimensional Neural Networks: Unified Theory
• Hybrid Neural Networks, Novel Models of Neurons, NP Hard Problems
• Brain Information Technology, Novel Perspectives
• Introduction to CNN's
• Different CNN Models (vgg net, alexnet, googlenet, resnet models)
• Medical Data applications using Deep learning
• Image and Computer vision applications using Deep Learning Object Detection and action recognition
• Deep Learning Applications
• Research issues and case studies in Deep Learning, discussions

List of Speakers

Prof. Garimella Rama Murthy, Professor, Mahindra Ecole Central, Hyderabad

Mr. M. Srinivas, IIIT Hyderabad

Dr. M. Srinivas, Assistant Professor, NIT Warangal

Dr. Nagesh Bhattu Sristry, Assistant Professor, NIT Andhra Pradesh

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

Feedback Summary

Good resource persons with good knowledge on topics.

FDP was very Informative.

Deep Learning and Machine Learning concept and application was good.

Hands on session are good.

There was a good interaction between the participants and the resource persons.

Suggestions from Participants

Required more hands on sessions.