Nov 23, 2017
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
Mar 31, 2020
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
Mar 30, 2020
this course was a little boring, but it covers all the necessary concepts about the error analysis and strategies to be followed in machine learning
автор: Rafiul H N•
May 04, 2020
The course has given me insight about the handling of ML projects. But it would be great if there was some CODING and specific algorithm involved.
Jan 19, 2018
Good course! Focusing on strategies on how to start well and manage a DL project.
But very vague! Hoped to have more thery & a usecase on the topic
автор: Frank H•
Nov 18, 2017
I had some problems answering some questions correctly since there was no specific emphasis in the lectures and I was somehow unsure how to reply.
автор: Gokhan A•
Sep 18, 2017
It has nice discussions on the practical aspects of Deep Learning projects, but I wish it had more Math, and it had more programming assignments.
автор: Bradly M•
Apr 03, 2019
This course was relatively short, and the quality of the materials (lecture videos, quiz text) was somewhat poorer than in the previous courses.
автор: Eric S•
Aug 30, 2017
Good practical advice. I would have added something about agile development and possibly practical advice on NN architectures (depth and size).
автор: Sujay K•
Mar 25, 2018
The course would have been more interesting if we had some programming assignments. Hands on experience into some of these cases really help.
автор: Daniel M•
Jan 14, 2018
Unique course in the sense that teaches important topics that are rarely seen in the literature and are fundamental in designing AI projects.
автор: Hagay G•
Apr 09, 2019
Had some pretty great info for junior Project Managers, for some reason, it's also hiding some extremely important info about end-to-end DL.
автор: Mohamed M H M A•
Apr 22, 2018
Some of the videos weren't of good quality. Also, I was expecting doing a real project not to make decisions based on different scenarios.
автор: Nikolai K•
Oct 03, 2017
Good course overall, would have liked to have the in-depth programming assignments though, those really made the other courses stand out.
автор: Shashank S S•
Jul 08, 2019
Learned various ways to structure ML projects in industry.
It would have been great to have few programming assignments included as well.
автор: Leonid M•
Oct 05, 2017
Some tips are very useful for practitioners but the same information is repeated over and over again that makes the course quite boring.
автор: aman a c•
May 18, 2020
A small course with very effective tips and tricks to figure out how to start and proceed further while building a project effectively.
Feb 26, 2019
I think this lecture is very useful when we make our own ML system.
Also, it has many examples about errors we can usually meet in real.
автор: Tim S•
Feb 26, 2018
Useful, practical material. I probably underappreciate the importance of someone (especially of Dr. Ng's stature) covering this for us.
автор: Bill T•
Feb 25, 2018
Very practical lessons in this module that should make you and your team more efficient in implementing deep learning on real problems.
автор: Edward M•
Dec 24, 2019
another great Andrew Ng course. This one gives practical insights in how to go about making your deep neural networks perform better.
автор: Mohammad H•
Dec 17, 2019
I really found the pilot training quizzes are great and very helpful, but some questions one can debate if has the right answer or not
Apr 08, 2019
Quizzes could be refined since some of the questions are really confusing & need weird pre-requisite knowledge about human physiology.
автор: Kalfas I•
Aug 14, 2018
It was an interesting course for sure, but it was a bit stretched and the notions explained could be compressed in a much shorter one.
автор: John E M•
Apr 01, 2018
I appreciate the review and hints on structuring ML projects. Just seemed a little lacking on the meat and potatoes of real practice.
автор: JEREMY S•
Jun 07, 2020
Interesting to understand how to manage a problem during a ML project, really good trick and tip! Thanks Andrew and deep learning.ai!
автор: Alhasan A•
Jun 01, 2019
It would be more useful to give explanation why an answer is correct and others are wrong, such details enhance our learning so much.