Apr 19, 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
Jan 14, 2020
After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.
교육 기관: Alex N•
Sep 12, 2017
Only drawback is that some of the safe checks are wrong in the programming assignments, even with the right seeds.
교육 기관: Khalid A•
Sep 15, 2019
It is definitely very informative, but I wish the lectures would be more in depth in regards to the derivation and proofs.
교육 기관: Ruud K•
Feb 06, 2019
Really love the course, the quizes and programming assignments. But not 5 stars cause the audio quality is extremely poor.
교육 기관: 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.
교육 기관: 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
교육 기관: Santiago F V•
Jul 02, 2020
The theorical part is perfectly explained. However, the program assingment of the las week is not as good as expected.
교육 기관: Tan N•
Jun 22, 2020
Thanks a lot for clearly explaining of intuition about algorithms and optimizer. More ever, great design of assignment
교육 기관: Avinash K V•
May 04, 2020
Outstanding material. Would like to thanks Mr. Andrew Ng Sir for providing such a nice and detailed description.
교육 기관: Viviana M•
Oct 29, 2017
I really enjoyed the classes, in the training I would've liked to try and improve the model with all the tools learned
교육 기관: Amit J•
Nov 22, 2019
Great practical insights.
I wish there were programming assignments on "Hyperparameter tuning" and "Batch norm" too.
교육 기관: Christopher S•
Oct 25, 2019
Good intro to the available tools. Very guided course. For concepts to really stick, own projects or courses needed.
교육 기관: George L•
Oct 24, 2018
it's good, but definitely not as good as the first course since Prof. Ng was not very clear on some of the concepts.
교육 기관: Ruixin Y•
Apr 30, 2018
The course itself is great, but the notebook (programming assignment system) is not stable, it's annoying sometimes.
교육 기관: Peter T•
Apr 17, 2018
Useful information, good intuition, but lack of formal results. More homework would improve the learning experience.
교육 기관: Ashutosh P•
Apr 04, 2018
It was a great course. Really well taught by Professor Andrew Ng. Some "from the scratch" coding assignments needed.
교육 기관: Suresh D•
Mar 01, 2018
I hated the tensorflow part though. Would have much preferred it if we could have moved away from jupyter notebooks.
교육 기관: Francisco C•
Jul 24, 2018
Very good content overall. Very well explained and good examples. Many mistakes in the comments in the assignments.
교육 기관: Abhinava K•
Dec 08, 2017
Content is good, but assignments are not interesting. Some application oriented assignments will be be encouraging.
교육 기관: Manish C•
Jan 23, 2020
Like all other andrew ng courses this course is also the best course to deep dive into neural network algorithms .
교육 기관: Francesco P•
Feb 26, 2019
I would like to see more programming assignments. They are very well done and it'd be great to have more of those.
교육 기관: Angad P S•
Dec 13, 2017
I would really benefit from this course if more assignments are provided to try different data sets and scenarios.
교육 기관: Rahad A N•
May 13, 2020
Absolutely love the course and the way Andrew teaches us, though I have a little bit discomfort in writing codes.
교육 기관: Emmanuel•
Mar 05, 2020
A little bit to theorical and with too many guidance at some points and not much at some other (for TF functions)
교육 기관: Giovanni C•
Feb 11, 2019
I liked the course, but the explanation of tensorflow needs more propaedeutic introduction for a learner like me.
교육 기관: Charbel J E K•
Jan 17, 2018
Really helpful ! Too much concepts to understand but only applying few in the course. I really liked this course.