Dec 24, 2017
Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.
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: Kevin K•
Jul 06, 2020
The course was great overall, but I wish we had more involvement in the set up of the programs in the programming assingments.
교육 기관: NAMAN M•
Jun 03, 2020
It would've been much easier if the graded functions of the tensorflow practice assignment would've been explained separately.
교육 기관: 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...
교육 기관: 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.
교육 기관: Tarun S•
Sep 19, 2017
Well detailed course..
Tensorflow is very basic and it could have been improved if one can visualize graphs too in tensorboard
교육 기관: Pranay V•
May 20, 2020
Explains neural nets like a tutorial more than a formal course. Overall pretty insightful. Also, instructor can speak louder.
교육 기관: Steven A•
Nov 07, 2017
Great course!! The only improvements I'd suggest is more difficult assignments (less guided) and more written documentation.
교육 기관: Alonso O O•
Apr 08, 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.
교육 기관: 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.
교육 기관: 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
교육 기관: 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.
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.