Some assignments, even though I get the same result as the output given, it get marked as wrong... Please try to rectify it

Very good course from the excellent Andrew Ng.

Some typos and some glitches in the video, hopefully it will improve in time.

Good pace

Only drawback is that some of the safe checks are wrong in the programming assignments, even with the right seeds.

It is definitely very informative, but I wish the lectures would be more in depth in regards to the derivation and proofs.

Really love the course, the quizes and programming assignments. But not 5 stars cause the audio quality is extremely poor.

course content was very good, but this course should be longer. there was a lot of material covered in a very short time.

More pragmatic approach with theorems would be more appealing....or maybe it is me as i'd prefer Java (DL4J)...not sure

I really enjoyed the classes, in the training I would've liked to try and improve the model with all the tools learned

Great practical insights.

I wish there were programming assignments on "Hyperparameter tuning" and "Batch norm" too.

Good intro to the available tools. Very guided course. For concepts to really stick, own projects or courses needed.

it's good, but definitely not as good as the first course since Prof. Ng was not very clear on some of the concepts.

The course itself is great, but the notebook (programming assignment system) is not stable, it's annoying sometimes.

Useful information, good intuition, but lack of formal results. More homework would improve the learning experience.

It was a great course. Really well taught by Professor Andrew Ng. Some "from the scratch" coding assignments needed.

I hated the tensorflow part though. Would have much preferred it if we could have moved away from jupyter notebooks.

Very good content overall. Very well explained and good examples. Many mistakes in the comments in the assignments.

Content is good, but assignments are not interesting. Some application oriented assignments will be be encouraging.

I would like to see more programming assignments. They are very well done and it'd be great to have more of those.

I would really benefit from this course if more assignments are provided to try different data sets and scenarios.

I liked the course, but the explanation of tensorflow needs more propaedeutic introduction for a learner like me.

Really helpful ! Too much concepts to understand but only applying few in the course. I really liked this course.

Good course to get familiar with hyperparameters and improving the neural networks. And cliff hanger was amazing!

Nice and practical. The assignments could go a step further in trying out different things to get better results.

It was great course, however, I would have liked it to be a lot slower with more time being spent on Tensorflow.

A good course that provided more intuition on which models to work with and how to tune parameters effectively.