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Image Compression with K-Means Clustering (으)로 돌아가기

Rhyme의 Image Compression with K-Means Clustering 학습자 리뷰 및 피드백

4.6
별점
75개의 평가
16개의 리뷰

강좌 소개

In this project, you will apply the k-means clustering unsupervised learning algorithm using scikit-learn and Python to build an image compression application with interactive controls. By the end of this 45-minute long project, you will be competent in pre-processing high-resolution image data for k-means clustering, conducting basic exploratory data analysis (EDA) and data visualization, applying a computationally time-efficient implementation of the k-means algorithm, Mini-Batch K-Means, to compress images, and leverage the Jupyter widgets library to build interactive GUI components to select images from a drop-down list and pick values of k using a slider. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
필터링 기준:

Image Compression with K-Means Clustering 의 16개 리뷰 중 1~16

교육 기관: Ashok G

Apr 17, 2020

useful

교육 기관: Harsh m

Mar 30, 2020

really informative and interactive, rhyme is an ingeniously made learning platform. had a great time learning a new skill.

교육 기관: Mayank S

Apr 26, 2020

Great Course.

Now i know we can compress image using Kmeans.

Thankyou Snehan Kekre

교육 기관: TEJENDER S

Apr 12, 2020

It was great learning here a good experience. Thank you coursera

교육 기관: SHUBHAM S

May 15, 2020

Amazing high level guide with implementation.....

교육 기관: Dr. C J

May 14, 2020

very good and simple to learn

교육 기관: K J

May 18, 2020

Perfect and just right

교육 기관: Diego R G

May 20, 2020

Great project!

교육 기관: MARLA S K

May 09, 2020

nice course

교육 기관: Partheepan

Apr 09, 2020

very useful

교육 기관: Arvind K V

May 20, 2020

Osm course

교육 기관: rayudu.chinnarao

May 19, 2020

excellent

교육 기관: Joseph j D

Apr 14, 2020

useful

교육 기관: DODDI A

May 23, 2020

Its a very good course for beginners, instructor Snehan Kekre is good at helping us step by step.

Only Regret the time for usage of cloud browser is very limited, it should be increased as the user needs to settle with environment

교육 기관: PRAKHAR Y

Apr 06, 2020

Good course to gain a little understanding of K means algorithm(mostly its mini form MiniBatchKMeans) and also to know its application such as image compression.

교육 기관: Belcy B

May 23, 2020

na