Introduction
Course Content
Instructor
Schedule
Introduction

The computer vision and deep learning is an emerging technology all over the world and there is a high demand in the Information Technology industry for developers in this field as various organizations are developing and using computer vision-based applications. Based on applications, the global computer vision market is divided into video mining, surveillance, crowd analysis and forensic science. Artificial Intelligence (AI) technology is growing and spreading day by day, and the implementation of this technology to solve the real-time problems is getting fame. As currently there is fourth industrialist revolution. Therefore, industries have been aiming to go for the solutions, which is powered by AI to help them for the conversion of their manual work into the digital transformation. Moreover, there are many other businesses, especially smaller ones, are unable to get the advantages of AI implementation. There are many benefits of AI in your business decision-making, profit-making, manufacture processes, human resource management etc. Ai has enabled the companies to do a task more efficiently than a conventional method. The Ai based tools and technologies enable the business to achieve more output with less resource and good efficiency and accuracy. The technology has been advanced into various industries and transformed them completely. Many industries are leveraging the benefits of Artificial Intelligence. Let us have a look at some industries, which are completely transformed by the intelligent systems.

Course Content

Module 1: Introduction to Computer Vision

Module 2: Image Enhancement and Filtering

Module 3: Image Segmentation and Edge Detection

Module 4: Image Restoration and Image Filtering

Module 5: Morphology and Applications

Module 6: Feature Extraction

Module 7: Time Domain Feature Extraction and Color Image Processing

Module 8: Introduction to Deep Learning

Module 9: Convolutional Neural Network

Module 10: 3D Convolutional Neural Network

Module 11: Recurrent Neural Network

Module 12: Generative Adversarial Networks

Module 13: Reinforcement Learning

Instructor
Schedule

Class Days: Monday - Friday

Class Timings: 04:00PM - 09:00PM