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Image Super Resolution Using Autoencoders in Keras に戻る

Coursera Project Network による Image Super Resolution Using Autoencoders in Keras の受講者のレビューおよびフィードバック

4.3
206件の評価
42件のレビュー

コースについて

Welcome to this 1.5 hours long hands-on project on Image Super Resolution using Autoencoders in Keras. In this project, you’re going to learn what an autoencoder is, use Keras with Tensorflow as its backend to train your own autoencoder, and use this deep learning powered autoencoder to significantly enhance the quality of images. That is, our neural network will create high-resolution images from low-res source images. 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 Keras 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....

人気のレビュー

AZ

Jun 17, 2020

Very informative, but extremely short project, I would have loved for more explanation on the theory behind each of the layers used and more loss functions and optimizer.

KT

May 28, 2020

Amazing course to gain knowledge in one of the trending field i.e. Image Super Resolution. I gain what I was looking for in this particular guided project.

フィルター:

Image Super Resolution Using Autoencoders in Keras: 1 - 25 / 42 レビュー

by Karan S

Jun 11, 2020

This was a useless course and I would never pay money for such content. The delivery was bad, so was the coding style.

by Amr K Z

Jun 17, 2020

Very informative, but extremely short project, I would have loved for more explanation on the theory behind each of the layers used and more loss functions and optimizer.

by Kshitij T

May 28, 2020

Amazing course to gain knowledge in one of the trending field i.e. Image Super Resolution. I gain what I was looking for in this particular guided project.

by Idris S

Jun 10, 2020

great course, implement quite well on the platform. A little more elaborate implementation and some more theory would be great.

by Leonardo M C

Jun 12, 2020

Excelllent! It just need the subtitles, at least in English just to verify some words.

by Mayank S

May 08, 2020

Well taught. Thanks. Please mail me data of the project. I need to revisit the code.

by Akanksha S

Jun 09, 2020

Learnt with flow chart of model which made a basis understanding of the project.

by AJAY K

May 21, 2020

I have learned about autoencoder and decoder.

by sai v

Apr 25, 2020

Excellent skills i have learned from these

by D N V V S S K

May 01, 2020

good project and clearly understandable

by Dushyant S

May 12, 2020

Well explained and easy to understand.

by Rahul C

Jun 02, 2020

Awesome learning experience.

by Gangone R

Jul 04, 2020

very useful course

by Iuliia A

Jun 19, 2020

Great explanation!

by Alex E A

May 18, 2020

Was a good one !

by R.Sathya

May 10, 2020

great experience

by Amey S

Jun 15, 2020

Good course

by XAVIER S M

May 30, 2020

Very useful

by Abhishek P G

Jun 16, 2020

satisfied

by Doss D

Jun 14, 2020

Thank you

by Kamlesh C

Jun 20, 2020

Thankyou

by SAIKUMAR T

Jun 16, 2020

Awesome

by p s

Jun 26, 2020

Nice

by Vajinepalli s s

Jun 18, 2020

nice

by tale p

Jun 18, 2020

good