

Computer Vision Essentials
- Offered byGreat Learning
- Private Institute
Computer Vision Essentials at Great Learning Overview
Computer Vision Essentials
at Great Learning
Duration | 4 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
Computer Vision Essentials at Great Learning Highlights
Computer Vision Essentials
at Great Learning
- Earn a certificate of completion
Computer Vision Essentials at Great Learning Course details
Computer Vision Essentials
at Great Learning
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
Computer Vision Essentials
at Great Learning
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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