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Computer Vision Essentials 

  • Offered byGreat Learning
  • Private Institute

Computer Vision Essentials
 at 
Great Learning 
Overview

Duration

4 hours

Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Computer Vision Essentials
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

Computer Vision Essentials
 at 
Great Learning 
Highlights

  • Earn a certificate of completion
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Computer Vision Essentials
 at 
Great Learning 
Course details

What are the course deliverables?
  • Computer Vision
  • CNN
  • Image processing
  • OpenCV with Python
  • TensorFlow
  • MNIST Dataset
  • Covid-19 Detection
More about this course
  • The course has been designed to ensure that you get complete knowledge about image processing and how the OpenCV library is used practically with Python to work with Artificial Intelligence tasks
  • To begin with, this course helps you understand the basics, such as digitizing images, sampling the data, and quantizing or compressing them
  • It will throw insights on different methods to work with pictures, including classification, identification, detection, and other processes in CV
  • Later, you will learn various CNN applications, like Padding, Pooling, and Filtering, including some types of CNN architectures
  • This course comprehends two case studies to help you understand the subject better

Computer Vision Essentials
 at 
Great Learning 
Curriculum

Introduction to Computer Vision Essentials

What is Computer Vision?

Digital Image

Process in Computer Vision

Introduction to Pooling and Filters

Sampling

Image Processing and Filtering

Case Study 1

CNN Introduction

Why CNN?

Padding, Pooling and Filtering

Types of CNN Architectures

Introduction to Transfer Learning

Working of Transfer Learning

Problem Statement for Case Study 2

Case Study 2

Introduction to Image Processing

OpenCV Demo using Python

Introduction to TensorFlow

Computer Vision Applications

MNIST Dataset

Covid-19 Detection

TensorFlow Serving and Lite

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