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

4.5
étoiles
185 évaluations
35 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....

Meilleurs avis

MS
14 sept. 2020

This course helped me a lot, I was confused and looked up a lot of articles on deploying deep learning models with tensorflow but this one helped by a great margin.

MB
10 déc. 2020

Excellent! I will rate this as the best rhyme project that I have done so far. The instructor does an excellent job in explaining all the parts.

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1 - 25 sur 36 Avis pour Deploy Models with TensorFlow Serving and Flask

par Indrajit R

21 juin 2020

Terrible course — do not expect to learn anything about Tensorflow Serving. 90% of the course is about building a rudimentary flask app

par Gregory K

27 mars 2020

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

par galimba

30 mai 2020

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

par Vladimir K

28 mars 2020

Course itself is very good but Rhyme experience is terrible

par Tausik K M

10 juin 2020

Awesome One

par Kayode O J

4 avr. 2020

It is not what I taught. Not interesting

par Sanket G

24 oct. 2020

Really amazing content, everything is explained really really well. Instructor has taken really good effort to breakdown the complete process and make it easy to understand. Deployment is a really complex procedure but it was explained well. After completing the course i did the same thing on my local machine ,after few hours of dealing with errors, it worked. and now i feel really confident about this.

par grzegorz k

23 avr. 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 Md. A R S

15 sept. 2020

This course helped me a lot, I was confused and looked up a lot of articles on deploying deep learning models with tensorflow but this one helped by a great margin.

par Madhu B

11 déc. 2020

Excellent! I will rate this as the best rhyme project that I have done so far. The instructor does an excellent job in explaining all the parts.

par Ravi P B

17 juin 2020

Nice way to get started with model deployment with web app.

par M V

4 juil. 2020

Really simple and to the point course. Totally loved it.

par CAMILO A T V

19 sept. 2020

is a good course is very interactive.

par Anas K

9 juil. 2020

Great hands-on tutorial for beginners

par Ronny F

23 juil. 2020

great course and easy understanding

par Giriraj P

10 juil. 2020

best way to learn, i love it.

par Irina G

3 juil. 2020

cool project. Cats and Dogs

par Pascal U E

8 juin 2020

As simple as it should be !

par jaikumar14598

10 juin 2020

thanks for the course

par Doss D

14 juin 2020

Thank you very much

par Subtain M

10 juin 2020

Good explanation

par SASI V T

10 juil. 2020

EXCELLENT

par Kamlesh C

30 juil. 2020

Thanks

par XAVIER S M

1 juin 2020

Thanks

par Md. T U B

10 août 2020

nice