Es necesario que actualicen los notebook por ejemplo el de TensoFlow ya que esos códigos no corren bien con la nueva versión

This course was a little bored for me. I already knew a little bit about hypertuning so I felt that the course moved slowly.

Provides a good code skeleton to build a neural network, but would unlikely have one poised to do improvements on their own.

Very good course, but I would expect some hands on hyperparameter tuning (using maybe an additional programming assignment)

Está bueno el curso pero quizás lo más interesante sea el uso de TensorFlow al final para que todo empiece a tener sentido.

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.

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.