Good course to use Tensorflow in your browser

Was insightful and fun, Thanks.

Faltó un poco mas de contenido

very amusing lectures!

Easy

Laurence Moronay is really a great teacher and the course is very interesting and pleasant.

I Have removed 2 stars for the time wasted trying to make the examples and exercises provided with the course work :

=> Mobilenet Model version not compliant with the grader

=> A lot of WebGL issues (solved by setting backend parameter to "cpu")

Suggestion : report these issues during training to avoid hours spent on the forum

We can see people who already had these problems months ago and nothing is done to improve things

The course is good and interesting. It gives an overall idea on how to embed TF models in js. As in other courses of this specialisation, it is not an in-depth course but rather a fast-forward one: in my opinion this is good if you are not interested that much in these topics, not enough if you want to go deep. Nevertheless, contents are still comprehensible and concepts quite clearly explained. However, one might find more than one difficulties when trying to implement something by themselves.

Mildly interesting to see this work can be done in JS, but from my viewpoint: Why? I already can do it in Python... I am only stepping through this course on my way to the third and fourth courses in this specialization.

Quizzes are based on syntax and spelling, which feels like a waste of time. Questions should be more about concepts. Examples are pretty basic.

Too basic. All exercises are copy paste from the shown examples. All 4 weeks you can complete in just 1.

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

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

Explain the accuracy requirements for the assignments

ohh the last assignment on rock paper and scissors

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

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

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.

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.

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.

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

week 4 submission....