Artificial Intelligence and Deep Learning @ Pragati Engineering College (Autonomous), Surampalem

Participants Information

Participants:	54
Speakers:	05
Female participants:	22
Male participants:	32
Participants from SC/ST category:	NIL
Research Scholars:	01

Topics Covered

• Introduction to ANN
• Multi Layered Perception
• Hopfield Associative Memory
• Future of Machine Learning
• CNN and MLP with CNN
• Alexnet, Resnet, GoogleNet
• RCNN and Faster RCNN
• UNET and Mask RCNN
• Machine Learning Basics
• Feature Extraction Techniques
• Medical Data Applications using Deep Learning
• Deep Learning Basics with Tensorflow
• Convolution Neural Networks
• Recurrent Neural Networks Basics
• LSTM with Tensorflow and Keras
• Overview of CNN and SAE
• Introduction to action recognition
• Vision based action recognition
• Multi modal action recognition
• NLP and Language Modeling
• Word Embedding Models
• Sequence Labeling
• LSTM and RNN

List of Speakers

Dr. Rama Murthy Garimella, Professor, Mahindra Ecole Centrale College of Engineering, Hyderabad

Dr. Sri Phani Krishna Karri, Assistant Professor, NIT Andhra Pradesh

Dr. M. Srinivas, Assistant Professor, NIT Warangal

Mr. M. Srinivas, Assistant Professor, K L University Hyderabad

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

Feedback Summary

Excellent Program and very useful for Faculty and research scholars.

Resource persons are very good and expertise in deep learning and machine learning.

Excellent hands on practice.

Detailed explanation is given in all the topics.

Each and every session is good and informative.

Suggestions from Participants

Required more time for hands on session to get more clarity on the subject.