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Avis et commentaires pour d'étudiants pour Deploy Models with TensorFlow Serving and Flask par Coursera Project Network

4.3
étoiles
50 évaluations
10 avis

À propos du cours

In this 2-hour long project-based course, you will learn how to deploy TensorFlow models using TensorFlow Serving and Docker, and you will create a simple web application with Flask which will serve as an interface to get predictions from the served TensorFlow model. 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 (e.g. Python, Jupyter, and Tensorflow) pre-installed. Prerequisites: In order to be successful in this project, you should be familiar with Python, TensorFlow, Flask, and HTML. 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....
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1 - 10 sur 10 Avis pour Deploy Models with TensorFlow Serving and Flask

par Grzegorz K

Apr 23, 2020

I give 5 but I couldn't finish all the exercises due to the time limit. I would like 30 minutes more if possible. apart from that top class course. reccoment to anyone who learded some model stuff and want to get a grasp about showing them off

par XAVIER S M

Jun 01, 2020

Thanks

par Joerg H

Apr 15, 2020

Fine demonstration of the TensorFlow Serving Tool. I Since I have experience with Flask and Docker it was easy for me to follow. I particularly liked the application of the Bootstrap library, which I didn't use yet. As a potential for improvement I would like to propose more coverage of TensorFlow Service itself (I guess it is also possible build and train new models - but maybe this is beyond the scope of a short project...) By this course I feel inspired to use TensorFlow Serving and learned how to set a defined model in short time.

par José C G M

May 29, 2020

The virtual machine could be properly configured so as not to waste time on problems that arise. Also, I found the Rhyme platform with bugs

par galimba

May 30, 2020

This workshop is very helpful but I would have liked something a bit more advanced.

par Guillaume S

Apr 11, 2020

More oriented toward using flask than on TensorFlow Serving but well done.

par Vladimir K

Mar 28, 2020

Course itself is very good but Rhyme experience is terrible

par Jean M

May 15, 2020

The course is too basic. The course doesn't even train the model. It would be much better to prepare everything from model creation to deploy and serve. The browser-based tool used to code is horrible.

par Grygorii K

Mar 27, 2020

Only one video demo with no relation to real-life application. Waste of money and time.

par Kayode O J

Apr 04, 2020

It is not what I taught. Not interesting