Machine Learning in Image and Computer Vision Applications @ Vardhaman College of Engineering (Autonomous), Shamshabad, Hyderabad

Participants Information

Participants: 55
Speakers:05
Female participants:25
Male participants:30
Participants from SC/ST category:05
Research Scholars:02

Lab Sessions

  • Python basics, Tensor flow, Keras and panda
  • Deep Learning
  • Object Detection and Classification

Topics Covered

  • Overview of Machine Learning
  • Unsupervised Learning Methods -I
  • Supervised Learning Methods
  • Feature selection and Extraction
  • Bayesian Learning and SVM
  • Dimensionality Reduction Methods
  • Deep Learning Models
  • Medical Image Related Applications
  • Neural Networks Basics and Perceptron model
  • Multi layered Neural networks and Back propagation
  • Hopfield Associative memory
  • Data Driven Methods
  • Deep Learning
  • Optimization Methods and Medical Image

Highlights

List of Speakers

Prof. Subrahmanya Sastry Challa, Professor, IIT Hyderabad


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


Dr. A. Ravi Shankar, IIT Hyderabad


Dr. M. Srinivas, Assistant Professor, NIT Warangal


Prof. Ramamurthy, Professor, IIT Hyderabad


Feedback Summary

  • The workshop was very useful and all the topics were covered in the program.

  • Excellent hands on sessions provided.

  • The resource persons with each of their different set of knowledge contributed to the effectiveness of the program.
  • Suggestions from Participants

  • Required more time for hands on sessions.