Everything was good except that this course uses Trax. This framework has yet to have any new releases since 2021, and I cannot manage to train deep learning models using Trax on my GPU, not even possible in Colab. Trax is also very buggy and it does not have a large community to help. Recommendation for learners: take the course after it is fully rebooted to TensorFlow unless you want to take other courses to get useful/working code for NLP.

The code assignments are poorly documented, and doesn't even follow its own instructions. E.g. the last assignment has instructions in plain text, referencing variables and how to use them. But in the comments when to actually implement the code, there are new variables and new comments which seems to not overlap with the previous instructions. This makes it very confusing when just trying to understand what is suppsed to happen in the code.

Spends a lot of time going over tedious implementation details rather than teaching interesting NLP topics and nuances, especially in the assignments. Introduction to Trax seems to be the only saving grace, one bonus star :)))).

For having Andrew Ng's course as suggested background for this course this is a big step (read as fall) down.

The course is good as an example of code that executes tasks correctly; that is, you can see how neural networks are defined and used in Trax. However, from a pedagogical point of view, I find it quite weak. Concepts are poorly explained and notebooks consist of little more than copying and pasting previously displayed code.

Theory wise, it's a decent course. But I am paying the money to access the labs and assignments as well. But all those practical work is in 'Trax' which is a task to learn and is totally useless because no one uses that. Kindly convert the labs and assignments to tensorflow or pytorch.

Useless i would strongly recommend you to don't enroll this course. None of the content is properly covered. For your kind notice Andrew Ng is not the instructor of this course.