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Retour à Image Noise Reduction with Auto-encoders using TensorFlow

Avis et commentaires pour d'étudiants pour Image Noise Reduction with Auto-encoders using TensorFlow par Coursera Project Network

4.7
étoiles
99 évaluations
14 avis

À propos du cours

In this 2-hour long project-based course, you will learn the basics of image noise reduction with auto-encoders. Auto-encoding is an algorithm to help reduce dimensionality of data with the help of neural networks. It can be used for lossy data compression where the compression is dependent on the given data. This algorithm to reduce dimensionality of data as learned from the data can also be used for reducing noise in data. 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 Tensorflow pre-installed. Note: 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....

Meilleurs avis

NL
7 avr. 2020

Really great learning for beginners. Through project learning it gives very good confidence. But rhyme desktop should be available until completion of project.

NS
15 août 2020

nice presentation skill, it is helpful for me to noise reduction and image processing

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1 - 14 sur 14 Avis pour Image Noise Reduction with Auto-encoders using TensorFlow

par Narendra L L

8 avr. 2020

Really great learning for beginners. Through project learning it gives very good confidence. But rhyme desktop should be available until completion of project.

par Ravi P B

17 avr. 2020

A nice and short project and a good way to built a simple autoencoder and neural network classifier and getting them up and running.

par noman s

16 août 2020

nice presentation skill, it is helpful for me to noise reduction and image processing

par Kolawole E O

11 oct. 2020

Teachable and Readable course.

Thanks so much!!

par SUGUNA M

19 nov. 2020

Good project based course

par Nilesh N

28 mars 2020

Crisp and useful!

par XAVIER S M

2 juin 2020

Very Helpful !

par SUMIT Y

9 juil. 2020

Fine !!

par Kamlesh C

7 août 2020

Thanks

par sarithanakkala

23 juin 2020

Useful

par p s

23 juin 2020

Super

par tale p

17 juin 2020

good

par Rohit M

13 juin 2020

NICE COURSE :-))

par NAIDU P S A

27 juin 2020

nice