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Отзывы учащихся о курсе Image Super Resolution Using Autoencoders in Keras от партнера Coursera Project Network

4.4
звезд
Оценки: 96
Рецензии: 16

О курсе

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....

Лучшие рецензии

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.

MS

May 08, 2020

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

Фильтр по:

1–16 из 16 отзывов о курсе Image Super Resolution Using Autoencoders in Keras

автор: 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.

автор: Mayank S

May 08, 2020

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

автор: AJAY K

May 21, 2020

I have learned about autoencoder and decoder.

автор: sai v

Apr 25, 2020

Excellent skills i have learned from these

автор: D N V V S S K

May 01, 2020

good project and clearly understandable

автор: Dushyant S

May 12, 2020

Well explained and easy to understand.

автор: Rahul C

Jun 02, 2020

Awesome learning experience.

автор: Alex E A

May 18, 2020

Was a good one !

автор: R.Sathya

May 10, 2020

great experience

автор: XAVIER S M

May 30, 2020

Very useful

автор: Sivakumar

May 06, 2020

Excellent ! New concept and definitely not boring. The instructor was able to explain most of the necessary elements but some functions were never explained.

автор: Anas S

May 19, 2020

The virtual machine had a lot of problems that made it difficult to type in capital letters. Otherwise a good course

автор: FAQIHI

May 13, 2020

Great project with simple and clear steps

автор: Ankit G

May 28, 2020

good

автор: DWARAKESH

Jun 04, 2020

In this guided project , he has not given the explaination about how to save and get those weights and how to train the model .

автор: ravi k

Apr 27, 2020

better