HRDF Course- Advanced Computer Vision Training

Computer Vision is a field of Artificial Intelligence and Computer Science that aims at giving computers a visual understanding of the world. Computer Vision has been used in face recognition, autonomous cars, image search, optical character recognition, robotics vision, machine vision, and many applications. 

Computer Vision is undergoing rapid advances in recent years. In this course, you will learn state of the art computer vision techniques such Region-based CNN and YOLO techniques. You wil also learn about convolutional neural network and transfer learning. The topics includes:

• ConvNET
• Transfer Learning
• R-CNN Based Object Detection
• YOLO Based Object Detection

Module 1 Overview of Computer Vision

• Computer Vision Tasks
• Computer Vision Applications
• Computer Vision Approaches

Module 2 ConvNet

• What is ConvNET?
• ConvNET Architecture
• Image Classification with ConvNET
• ConvNET with Small Datasets
• Overfitting - Dropout & Data Augmentation
• Visualize ConvNET Layer

Module 3 Transfer Learning

• What is Transfer Learning
• Pre-Trained Models
• Data Augmentation
• Fine Tune Pre-Trained Models
• Visualize VGG16 layers

Module 4 R-CNN

• R-CNN
• Fast R-CNN
• Faster R-CNN
• Mask R-CNN
• Mask R-CNN Demo

Module 5 YOLO

• What is YOLO
• YOLO Algorithm
• Anchor Boxes
• IOU
• Non Max Suppression
• YOLO v3 Demo

Dr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.