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

844 évaluations
187 avis

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.\n\nI enjoyed the excitement I got along the way.\n\nIt was modeled to make you pass as long as you want to pass.\n\nThank you Laurence and Andrew.

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176 - 186 sur 186 Avis pour Browser-based Models with TensorFlow.js

par Simon O

19 janv. 2020

Not as good as previous deep learning courses. The exams could have been a bit harder.

par Jeremy O C M

27 avr. 2021

the submission grader for all of the weeks need to be updated.

par check l

4 avr. 2021

Explain the accuracy requirements for the assignments

par Abungu B O

1 nov. 2020

ohh the last assignment on rock paper and scissors

par Stephan S

23 déc. 2019

A lot of coding and only a few ML/AI concepts.

par Jochen R

17 déc. 2019

it is very exhausting to pass the tests due to hardware and software prblems, though the programming is very easy

par Vitalii K

16 déc. 2020

A lot of explanation of obvious things. Also, excercises are low quality, with Week 3 and 4 quite hard to pass because of technical issues. Week 3 - need specific versions of the libraries, which are not provided, without which "the model is invalid". Week 4 - quite hard to collect training samples for the model to reach required accuracy, since the app crashes after ~200 examples and wipes them out - you have to start again.

par Yoni K

25 juin 2021

So many technical issues!

90% of the time I dealt with technical issues such as make the web server run my code.

The course itself was very short and easy.

par Musalula S

2 mai 2020

The course content is very good but the instructions on how to install Tensorflow 2.0 and Tensorflow.js in python 3 are not clear.

par Indira P

12 mai 2021

The assignment system was sooo frustrating and wasting my time. Please fix it..

par szymelfenig

11 oct. 2020

week 4 submission....