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.

Compared with the Deep Learning specialization, this specialization was designed in a way that nobody can understand. Although the assignment could be easy at times, the point is being missed when people cannot really understand and learn. Bad teacher. Andrew Ng, please!

All the assignments are extremely similar.

I did not enjoy the course at all. It looks like the instructor is just reading materials rather than really teaching. He just focused on reading and did not explain anything. I took Andrew's deep learning specialization, and that course was really great. But I am so disappointed at this course. deeplearning.ai please do strict quality control on the courses otherwise it harms your brand

Oversimplified illustration of all core definitions and it is not reasonable from any sense to use trax instead of a popular framework like Tensorflow or Pytorch for the assignment. Also, the design of assignment is weak, you can barely learn anything from filling the blanks.

1) The course videos just throw out various nouns and you need to goole them to understand what they mean.

2) The assignments try their best to explain concepts in a way that often seems redundant.

For me, it is very dissapointing, time is spent on irrelevant things, like python syntax and generators in first week. There are missing video tutorials on how to use Trax.

Hard to follow explanations and TRAX absolutely made it super hard to learn and follow.

Superficial descriptions of the topics; quality definitely lacking

No mentors were available or contactable during this course

very superficial