Nice basics that help understand the fundamentals. The last part of the course should be upgraded to Tensorflow 2.0 already...

Again awesome explaining by Andrew, although I feel Batch Normalization should be a bit stressed upon and explained in detail.

Well detailed course..

Tensorflow is very basic and it could have been improved if one can visualize graphs too in tensorboard

Explains neural nets like a tutorial more than a formal course. Overall pretty insightful. Also, instructor can speak louder.

Great course!! The only improvements I'd suggest is more difficult assignments (less guided) and more written documentation.

Maybe i was doing it wrong but the last tensorflow exercice add me buggin. Tried everything and it didn't worked as expected

Some of the best intuitions behind Neural Networks can be provided by none other than Andrew Ng and this course proves that!

Very good - wouldve been more effective if included the questions part way through the videos as previous courses have done.

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.

The assignment for the third week is too light, making it difficult to fully understand the content taught in the course.

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