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Image Noise Reduction with Auto-encoders using TensorFlow に戻る

Coursera Project Network による Image Noise Reduction with Auto-encoders using TensorFlow の受講者のレビューおよびフィードバック

4.7
105件の評価
15件のレビュー

コースについて

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....

人気のレビュー

NL
2020年4月7日

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

NS
2020年8月15日

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

フィルター:

Image Noise Reduction with Auto-encoders using TensorFlow: 1 - 15 / 15 レビュー

by Narendra L L

2020年4月8日

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

by Ravi P B

2020年4月17日

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

by noman s

2020年8月16日

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

by Kolawole E O

2020年10月11日

Teachable and Readable course.

Thanks so much!!

by SUGUNA M

2020年11月19日

Good project based course

by nilesh n

2020年3月28日

Crisp and useful!

by XAVIER S M

2020年6月2日

Very Helpful !

by SUMIT Y

2020年7月9日

Fine !!

by Kamlesh C

2020年8月7日

Thanks

by sarithanakkala

2020年6月23日

Useful

by p s

2020年6月23日

Super

by tale p

2020年6月17日

good

by Rohit M

2020年6月13日

NICE COURSE :-))

by NAIDU P S A

2020年6月27日

nice

by Jorge G

2021年2月25日

I do not recommend taking this type of course, take one and pass it, however after a few days I have tried to review the material, and my surprise is that it asks me to pay again to be able to review the material. Of course coursera gives me a small discount for having already paid it previously. It is very easy to download the videos and difficult to get hold of the material, but with ingenuity it is possible. Then I recommend uploading them to YouTube and keeping them private for when they want to consult (they avoid legal problems and can share with friends), then they can request a refund.