Simple Image Classification Using KNN (K-Nearest Neighbors)

Learn how to classify images using KNN (K-Nearest Neighbors) algorithm.

Simple Image Classification Using KNN (K-Nearest Neighbors)

Learn how to classify images using KNN (K-Nearest Neighbors) algorithm.
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About the Class

Learn intuition behind image classification with machine learning

Build a strong foundation in image classification with this tutorial.

  • Understanding image classification
  • Use Open CV to read and manipulate images
  • Use KNN to classify images

A Powerful Skill at Your Fingertips

Learning the fundamentals of image classification puts a powerful and very useful tool at your fingertips. Jobs in image classification area are plentiful, and being able to use image classification will give you a strong edge.

Image Classification is becoming very popular. Tesla self-driving cars, GE, Apple are some famous example of image classification application. Understanding image classification is vital in information retrieval, and autonomous car driving.

Big companies like Google, Facebook, Microsoft, Airbnb, and Linked In are already using image classification in information retrieval, content ranking, autonomous car driving, and ad targeting in social platforms. They claimed that using image classification has boosted the productivity of the entire company significantly.

Content and Overview

This course teaches you how to build image classification. You will work along with me step by step to build intuition behind image classification

  • Understanding image basics
  • Understand Open CV library
  • Learn how machines perceive images
  • Learn to classify images using KNN (K-Nearest Neighbors)
  • Learn evaluation metrics such as precision, recall, F1 score
  • Train model
  • Evaluate model

What will you learn in this course?

  • Learn image classification from a professional trainer from your desk.
  • Over ten lectures teaching you image classification
  • Suitable for beginner programmers and ideal for executives who would like to learn intuition behind image classification.
  • Visual training method, offering users increased retention and accelerated learning.
  • Learn to break the most complex applications down into simple steps.

Who should take this course?

Anyone who is a beginner machine learning developer who would like to learn about image classification can take this course.

Author

Green Heritage Llc

Machine Learning Author
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Over 20 years of experience in programming applications in Fortune 500 companies. I have written 2 books on software design patterns and performance tuning that are published on kindle, nook and ibooks. So far I have taught react.js, nunit, Chatbot , several courses on machine learning and design patterns. I have also been working in machine...

Class Requirements

You should have knowledge of Python.

What's Included

Language: English
Level: Beginner
Skills: KNN, K-Nearest Neighbors, Image Classification
Age groups: All ages
Duration: 2 hours 10 minutes
14 Videos
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