AM
Oct 8, 2019
I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation
XG
Oct 30, 2017
Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.
By Marco v d L
•Nov 4, 2017
Video's: 5 star
Practice: 3 star (it will test your copy and past skills mostly)
By Han T L
•Mar 20, 2021
A bit less structured than the 1st course, but still excellent! Learned a lot!
By Biral K P
•Aug 17, 2020
A great course overall. Implementation in TensorFlow 2.0 would have been nice.
By Andrew P
•Oct 28, 2019
Wonderful course, would have liked another assignment working with TensorFlow.
By bayu a n
•May 4, 2019
Need more in-depth about parameter tuning, but it's a very good course overall
By Mohit k
•Jun 22, 2018
Thanks for such amazing course. Add little bit more on Tensorflow fundamentals
By Lucas O S
•Dec 11, 2017
Great course, still some issues in quizzes and autograder, and lack of support
By Vladislav Z
•Oct 8, 2017
Course it good, but IMHO to simple.
BTW I do not have real experience with NN.
By Haim K
•May 30, 2020
It would be beneficial to give more details on how tensorflow optimizers work
By Ankur D W
•May 9, 2020
This is an important course to go through for improving deep neural networks.
By Luis d l O
•Jan 15, 2020
Very nice one. Focus on practical aspects that are quite necessary to use NNs
By Hossein M A
•Sep 9, 2019
too complicated, many lessens in couple of short videos.
poor video transcript
By Arturo V
•May 29, 2019
Se podrÃa mejorar mucho la redacción del libro del ejercicio de programación.
By Alexander
•Nov 21, 2018
more python / tensorflow, as well as data exploration and cleaning is welcome
By Jiri L
•Jan 3, 2021
Very good. The only downside is the reliance on an old version of Tensorflow
By Damien C
•Sep 8, 2017
Excellent on the basis. could cite frameworks like hyperopt, hyperas, etc...
By Luigi C
•Aug 29, 2017
There are still some minor typos to correct, but it's a great course anyway!
By Ashim M
•Oct 5, 2020
Builds really well. Didn't know about gradient checking before this course!
By IDRIS S
•Jul 4, 2020
activity at the end used tensorflow 1, support for tf2 would be appreciated
By Samuel E
•May 27, 2020
Programming assignments can be made more rigorous with more hands-on coding
By Tukaram P
•May 27, 2020
everything is good, jypyter notebooks are slow gets confused in assignments
By Pranaydeep C
•Apr 21, 2020
I really liked it because it made me specially under stable with Tensorflow
By Fredrik C
•Jul 18, 2019
Great, but could be better. Fix the typos. Add summarized video notes. Etc.
By Ahteshaam S
•Feb 16, 2022
The Last assignment on Tensorflow can be improved and explained in detail.
By Győző T
•Feb 18, 2021
The Tensorflow part was hard. Pleas add more explaination to the notebook.