Oct 31, 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.
Oct 09, 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
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: 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: Xiaoliang L•
Mar 25, 2019
Practices are more like "type after me" than a real learning opportunity.
교육 기관: Jorge G P•
Oct 27, 2017
Excelent course with very interesting insigth on tuning a multilayer ANN.
교육 기관: ATIK M•
Apr 25, 2019
Good can be improved by providing more code based video like Tensorflow.
교육 기관: Jaap•
Jan 07, 2020
Some tricky parts in the programming assignments. otherwise great class
교육 기관: alfredo g•
May 29, 2019
too math, i hope futher parts contain more implementation than calculus
교육 기관: Imran P•
Oct 04, 2017
I'd like a little more focus on tensorflow, perhaps starting at week 1.
교육 기관: Pascal A S•
Jul 22, 2019
A bit too technical for my taste. But useful examples to work through.
교육 기관: Rindra R•
Oct 10, 2017
Good curriculum and to the point. TensorFlow introduced a little late.
교육 기관: Fabio S•
Nov 04, 2019
Suggestion of references, as a complement, would be very interesting.
교육 기관: Marcos C D•
Nov 03, 2019
Content needs update to leverage the state of the art in the subject.
교육 기관: Cristhian A B•
Aug 28, 2019
It's a hard course but the materials are great and their explanations
교육 기관: Srivatsan R•
Jun 29, 2018
Needs more real coding exercises taht aren't mainly just copy & paste
교육 기관: jian29ye4•
Oct 24, 2017
generally good but hope to get more assignment about parameter tuning
교육 기관: Vishal•
Mar 28, 2019
Tough Concepts are not explained clearly like dropout regularization
교육 기관: Silvério M P•
Aug 31, 2018
Not as much detail on the topics as the first specialization course.