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.

Very good course. It would be 5 stars if it had questions on each video and a bit more difficult programming excercises.

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

The theorical part is perfectly explained. However, the program assingment of the las week is not as good as expected.

Thanks a lot for clearly explaining of intuition about algorithms and optimizer. More ever, great design of assignment

Outstanding material. Would like to thanks Mr. Andrew Ng Sir for providing such a nice and detailed description.

THANKS

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.

Very good course, all relevant and well explained. I think it just needs and update for working with TensorFlow 2.

Like all other andrew ng courses this course is also the best course to deep dive into neural network algorithms .

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.

Great course. Some guidance on implementing backpropagation with batch normalization would have been appreciated.

Absolutely love the course and the way Andrew teaches us, though I have a little bit discomfort in writing codes.

A little bit to theorical and with too many guidance at some points and not much at some other (for TF functions)