Faltó un poco mas de contenido

very amusing lectures!

This is good!

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.

week 4 submission....