Machine Learning and its Applicatons @ Srinivasa Ramanujan Institute of Technology, Ananthapuramu

Participants Information

Participants:	51
Speakers:	05
Female participants:	13
Male participants:	38
Participants from SC/ST category:	04
Research Scholars:	01

Topics Covered

• Brain information Technology: neuro Computing: Novel perspectives
• Introduction to Cnn's Different cnn model
• Medical data applications using Deep Learning
• Image and computer vision applications using Deep Learning
• Object Detection and action recognisition
• Introduction to ML
• Supervised and Unsupervised Learning
• Classification- Methods
• Clustering
• Dimensionality Reduction
• PCA
• Demo on Data Modelling
• Fuzzy Sets and Systems
• Convolutional Neural Networks
• Basics of Tensorflow and Keras
• Deep Learning approach for image classification using Tensorflow
• Image classification Analysis with Convolutional Neural Networks in Keras(Deep Learning approach)
• Regression Analysis
• Cross Validation Techniques

List of Speakers

Dr. G. Rama Murthy, Professor, IIIT, Hyderabad

Dr. M. Srinivas, Assistant Professor, NIT Warangal

Prof. R. B. V. Subramanyam, Professor, NIT Warangal

Dr. M. Srinivas, Research Scholor, IIIT Hyderabad

Prof. D. V. L. N. Somayajulu, Director, IIITDM, Kurnool

Feedback Summary

Interactive hands on experience.

Excellent program and its conduct.

Effective hands on session.

Very helpfull program for beginners and researchers.

Suggestions from Participants

Require more hands on sessions.