Good course could have been better expected little more on Tensor flow exercise.

Clear and simple introduction to the topics. Useful hints and 'takeaway lessons'

Should have some TensorFlow Tutorials. I have found it difficult to understand.

Good content. But I found the pace a little slow , maybe just my impatience. :)

Great insights, however the programming assignments came with some minor issues

A bit short and light to be a course on its own but still useful in the series.

This course is a bit harder than the first one although it is only three weeks.

Useful material and good teacher but the grading system has some serious issues

Video's: 5 star

Practice: 3 star (it will test your copy and past skills mostly)

The time allocated to learning and passing the quizzes was worth every minute.

A bit less structured than the 1st course, but still excellent! Learned a lot!

A great course overall. Implementation in TensorFlow 2.0 would have been nice.

Wonderful course, would have liked another assignment working with TensorFlow.

Need more in-depth about parameter tuning, but it's a very good course overall

Thanks for such amazing course. Add little bit more on Tensorflow fundamentals

Great course, still some issues in quizzes and autograder, and lack of support

Course it good, but IMHO to simple.

BTW I do not have real experience with NN.

It would be beneficial to give more details on how tensorflow optimizers work

This is an important course to go through for improving deep neural networks.

Very nice one. Focus on practical aspects that are quite necessary to use NNs

too complicated, many lessens in couple of short videos.

poor video transcript

Se podría mejorar mucho la redacción del libro del ejercicio de programación.

more python / tensorflow, as well as data exploration and cleaning is welcome

Very good. The only downside is the reliance on an old version of Tensorflow

Excellent on the basis. could cite frameworks like hyperopt, hyperas, etc...