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Avis et commentaires pour d'étudiants pour Browser-based Models with TensorFlow.js par

897 évaluations

À propos du cours

Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you’ll train and run machine learning models in any browser using TensorFlow.js. You’ll learn techniques for handling data in the browser, and at the end you’ll build a computer vision project that recognizes and classifies objects from a webcam. This Specialization builds upon our TensorFlow in Practice Specialization. If you are new to TensorFlow, we recommend that you take the TensorFlow in Practice Specialization first. To develop a deeper, foundational understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Meilleurs avis


19 déc. 2020

Excellent course!!! It is actually a milestone for people like me who have trained models in Jupyter notebooks, but Tensorflow JS is actually a great way for the models to become 'alive'! Thanks!


17 mars 2021

This course is very practical and interesting.

I enjoyed the excitement I got along the way.

It was modeled to make you pass as long as you want to pass.

Thank you Laurence and Andrew.

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51 - 75 sur 196 Avis pour Browser-based Models with TensorFlow.js

par Ogunkeye F

28 juin 2020

loved the content. but would have been happier if more of the js code was explained better

par Sayak B

5 févr. 2020

Good introductory course on Tensorflow deployment. Enjoyed lectures and doing assignments.

par Vadivel

24 avr. 2021

Easy to understand. This course provides a basic understanding of deploying deep learning

par Rishabh R

30 juin 2020

great course to introduce you with the basics of web deployment along with great examples

par Shafique K

23 avr. 2020

Very good to start as it is one of the niche requirements in model deployment pipelines.

par Piyush T

8 mars 2020

Great for a beginner. Projects you can show in interviews can be made using given skills

par Vinay M

22 mai 2020

It was my dream course. I was waiting for someone to teach me models inferneces on web.

par Adrian P S

24 févr. 2020

Very nice use-cases for tensorflow in the browser.Little overhead for great experience!

par C M

10 oct. 2020

If you're a developer, this is a good start to peak your interest in ML workflows.

par Sushrut A

4 janv. 2020

Great course to begin with for those who wants to upgrade their deployment methods

par Kabakov B

23 oct. 2020

The course is great but has technical issues with 2 last programming assignments.

par Deleted A

4 avr. 2020

This course is really good. It has real world & interesting assignments to solve.

par Yuan-Hong T

8 avr. 2020

Nice course, a good starting point to learn tensorflow.js and web-applications!

par Mehmet Y A

2 avr. 2020

this course was very entertaining and i had so much joy doing its assignments!

par satish b

10 mars 2022

One of the best course to learn on Browser based models with Tesnsorflow.

par Antti R

24 juil. 2020

Well structured course with excellent programming examples and exercises.


23 juin 2020

It was an excellent course! I learned a lot and the practices are amazing

par Thomas S

20 déc. 2019

Good and compact introduction on how to use the basic functions of tfjs.

par Hanan S A

28 févr. 2020

Thank you for the great course, I have learned a lot in a short time!

par Rainm

14 janv. 2020

I've learned a lot of concepts and do a lot of excises, thanks a lok!

par Michael Z

21 août 2020

Train and inference using web browser is very useful. Good course.

par Nguyen N T

4 juin 2020

Perfect course, i have learnt a lot of thing from this course!!!!

par Kyle Y W K

13 avr. 2020

Easy to pick up and understand primer into Tensorflow.js. Thanks!

par Thomas L

24 janv. 2021

Really great course for me. De-mystified deploying an ML model.

par 刘宇轩

26 déc. 2019

At least I learn about how TFJS works. but PYTORCH IS BETTER!