Jul 1, 2020
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
Mar 30, 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.
By 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).
By Eloi T•
Jul 4, 2020
Excellent content but the quizzes are badly done, many questions have several reasonable answers and very little feedback if we 'get it wrong'
By 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.
By 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.
By Hagay G•
Apr 9, 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.
By Jun-Hoe L•
Feb 19, 2022
Course is a little short, only 2 weeks and a quiz. I feel there could have been another week added, with another interesting case study ,
By 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.
By ARPIT J•
Aug 29, 2022
This is an important course for practical purpose. It tells us about the methods to use for improving your model by doing error analysis.
By Nikolai K•
Oct 3, 2017
Good course overall, would have liked to have the in-depth programming assignments though, those really made the other courses stand out.
By Shashank S S•
Jul 8, 2019
Learned various ways to structure ML projects in industry.
It would have been great to have few programming assignments included as well.
By Leonid M•
Oct 5, 2017
Some tips are very useful for practitioners but the same information is repeated over and over again that makes the course quite boring.
By 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 25, 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.
By Deleted A•
Feb 25, 2018
Useful, practical material. I probably underappreciate the importance of someone (especially of Dr. Ng's stature) covering this for us.
By Bill T•
Feb 24, 2018
Very practical lessons in this module that should make you and your team more efficient in implementing deep learning on real problems.
By 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.
By 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 8, 2019
Quizzes could be refined since some of the questions are really confusing & need weird pre-requisite knowledge about human physiology.
By Ioannis “ K•
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.
By John E M•
Mar 31, 2018
I appreciate the review and hints on structuring ML projects. Just seemed a little lacking on the meat and potatoes of real practice.
By Saurabh D•
Aug 26, 2020
Now I know what is Machine learning and its parts eg deep learning. The curse cleared the basic structure for machine learning to me.
By JEREMY S•
Jun 7, 2020
Interesting to understand how to manage a problem during a ML project, really good trick and tip! Thanks Andrew and deep learning.ai!
By Alhasan A•
Jun 1, 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.
By aditya g•
Feb 21, 2018
Machine Learning Simulator & course contents well prepares you to how a machine learning project should be structured and approached
By Chee H H•
Nov 24, 2017
Probably the least exciting of the five. This is a short course on how to approach machine learning projects, as the title suggests.