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.
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.
교육 기관: Andrew L P•
Oct 29, 2019
Wonderful course, would have liked another assignment working with TensorFlow.
교육 기관: bayu a n•
May 04, 2019
Need more in-depth about parameter tuning, but it's a very good course overall
교육 기관: Mohit K•
Jun 22, 2018
Thanks for such amazing course. Add little bit more on Tensorflow fundamentals
교육 기관: LOS•
Dec 11, 2017
Great course, still some issues in quizzes and autograder, and lack of support
교육 기관: Vladislav Z•
Oct 08, 2017
Course it good, but IMHO to simple.
BTW I do not have real experience with NN.
교육 기관: Haim K•
May 30, 2020
It would be beneficial to give more details on how tensorflow optimizers work
교육 기관: Ankur D W•
May 09, 2020
This is an important course to go through for improving deep neural networks.
교육 기관: Luis d l O•
Jan 15, 2020
Very nice one. Focus on practical aspects that are quite necessary to use NNs
교육 기관: Hossein M•
Sep 09, 2019
too complicated, many lessens in couple of short videos.
poor video transcript
교육 기관: Arturo V•
May 29, 2019
Se podría mejorar mucho la redacción del libro del ejercicio de programación.
교육 기관: Alexander•
Nov 21, 2018
more python / tensorflow, as well as data exploration and cleaning is welcome
교육 기관: Damien C•
Sep 08, 2017
Excellent on the basis. could cite frameworks like hyperopt, hyperas, etc...
교육 기관: Luigi C•
Aug 29, 2017
There are still some minor typos to correct, but it's a great course anyway!
교육 기관: Idris S•
Jul 04, 2020
activity at the end used tensorflow 1, support for tf2 would be appreciated
교육 기관: samuel E•
May 27, 2020
Programming assignments can be made more rigorous with more hands-on coding
교육 기관: Tukaram P•
May 27, 2020
everything is good, jypyter notebooks are slow gets confused in assignments
교육 기관: Pranaydeep C•
Apr 21, 2020
I really liked it because it made me specially under stable with Tensorflow
교육 기관: Fredrik C•
Jul 18, 2019
Great, but could be better. Fix the typos. Add summarized video notes. Etc.
교육 기관: Saurabh D•
Sep 12, 2019
Insights about how machine learning works in real life is quite ingeniuos.
교육 기관: moonseok s•
May 28, 2018
very good lecure.
somewhat difficult to me. I will repeat again and again.
교육 기관: John F•
Jan 26, 2018
Very informative but got some issues with the last programming assignment.
교육 기관: Arjan H•
Dec 08, 2017
More rigorous independent projects/assignments are needed for this course.
교육 기관: Carol Z•
Aug 19, 2017
Deepened my understanding of how to make deep neural networks work better!
교육 기관: Digaamber D•
Jul 18, 2020
Would have been more helpful if TensorFlow was covered in greater detail.
교육 기관: Xiaoliang L•
Mar 25, 2019
Practices are more like "type after me" than a real learning opportunity.