AS
Apr 18, 2020
Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course
HD
Dec 5, 2019
I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.
the only thing i didn't have completely clear is the barch norm, it is so confuse
By a b
•Aug 4, 2018
Very interesting course. But a bit fast I would say. Sometimes I didn't feel the programming assignments were that challenging.
By kevin k
•Jul 6, 2020
The course was great overall, but I wish we had more involvement in the set up of the programs in the programming assingments.
By NAMAN M
•Jun 3, 2020
It would've been much easier if the graded functions of the tensorflow practice assignment would've been explained separately.
By Dário P
•Mar 18, 2020
Nice basics that help understand the fundamentals. The last part of the course should be upgraded to Tensorflow 2.0 already...
By Uddhav D
•May 28, 2019
Again awesome explaining by Andrew, although I feel Batch Normalization should be a bit stressed upon and explained in detail.
By Tarun S
•Sep 18, 2017
Well detailed course..
Tensorflow is very basic and it could have been improved if one can visualize graphs too in tensorboard
By Pranay V
•May 20, 2020
Explains neural nets like a tutorial more than a formal course. Overall pretty insightful. Also, instructor can speak louder.
By Steven A
•Nov 7, 2017
Great course!! The only improvements I'd suggest is more difficult assignments (less guided) and more written documentation.
By Bruno C
•May 7, 2023
Maybe i was doing it wrong but the last tensorflow exercice add me buggin. Tried everything and it didn't worked as expected
By Shashank K
•Oct 15, 2020
Some of the best intuitions behind Neural Networks can be provided by none other than Andrew Ng and this course proves that!
By Kevin M
•Sep 24, 2020
Very good - wouldve been more effective if included the questions part way through the videos as previous courses have done.
By Jonathan G
•Aug 9, 2020
Es necesario que actualicen los notebook por ejemplo el de TensoFlow ya que esos códigos no corren bien con la nueva versión
By Alonso O O
•Apr 7, 2020
This course was a little bored for me. I already knew a little bit about hypertuning so I felt that the course moved slowly.
By Omar S
•Oct 29, 2017
Provides a good code skeleton to build a neural network, but would unlikely have one poised to do improvements on their own.
By Nikolaos P
•Nov 29, 2021
Very good course, but I would expect some hands on hyperparameter tuning (using maybe an additional programming assignment)
By Kevin C
•Oct 28, 2020
Está bueno el curso pero quizás lo más interesante sea el uso de TensorFlow al final para que todo empiece a tener sentido.
By Om S P
•Jul 19, 2019
Some assignments, even though I get the same result as the output given, it get marked as wrong... Please try to rectify it
By Victor P
•Oct 26, 2017
Very good course from the excellent Andrew Ng.
Some typos and some glitches in the video, hopefully it will improve in time.
By Alex N
•Sep 12, 2017
Good pace
Only drawback is that some of the safe checks are wrong in the programming assignments, even with the right seeds.
By Khalid A
•Sep 14, 2019
It is definitely very informative, but I wish the lectures would be more in depth in regards to the derivation and proofs.
By Ruud K
•Feb 6, 2019
Really love the course, the quizes and programming assignments. But not 5 stars cause the audio quality is extremely poor.
By Leandro R
•Jan 25, 2022
Very good course. It would be 5 stars if it had questions on each video and a bit more difficult programming excercises.
By Arkosnato N
•Nov 28, 2017
course content was very good, but this course should be longer. there was a lot of material covered in a very short time.
By Michael B
•Mar 17, 2018
More pragmatic approach with theorems would be more appealing....or maybe it is me as i'd prefer Java (DL4J)...not sure
By Santiago F V
•Jul 2, 2020
The theorical part is perfectly explained. However, the program assingment of the las week is not as good as expected.