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 19, 2019
Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.
por Haoqiu W
•Mar 31, 2019
nice teacher
por Erick A
•Mar 31, 2019
This is a very very interesting course since it discusses a lot of subtleties one deals with when developing machine learning projects
por Radoslaw R
•Apr 13, 2019
Structuring and benchmarking your overall understanding of ML / AI projects
por Kirti G
•Apr 13, 2019
Very practical course
por AMRICHE A A E
•Apr 14, 2019
Excellent course that covers some of the most critical aspects related to machine learning projects. The approach used in the quizzes is very effective. It introduces learners to some common problems under a variety of scenarios.
por xun y
•Apr 14, 2019
So far the most useful course in this specialization. Not technical intensive, but a lot of useful tips in real world machine learning projects.
por Sameer K
•Apr 09, 2019
One of the best courses of DL specialization. The knowledge shared is invaluable and it is tough to get such good insights elsewhere. Thanks to Prof Andrew Ng and Team.
por Mohammed K A K
•Apr 09, 2019
Concept of Transfer learning, error analysis very clearly explained. Yearning to build my first model on a completely new problem.
por Saurabh S
•Apr 08, 2019
Really helpful course. Lots of information on how should you drive your machine learning project.
por Santiago G
•Apr 09, 2019
Great!
por Diptanshu S
•Apr 09, 2019
Very practical - Useful concepts for transfer learning
por Raksha Y
•Apr 10, 2019
no one create better material than this course
por Shashank C
•Apr 11, 2019
The course was very useful for me, thank you Prof Andrew!
por Yulei Q
•Apr 11, 2019
Good!
por Ufuk T
•Apr 11, 2019
It is a useful course that I recommend. You can learn a lot about improving neural networks and troubleshooting.
por Sherif M
•Apr 11, 2019
This course offers insights into organizing and structuring machine learning projects. It is different than the other courses of this specialization by not going to much into technical details. I found it still very rewarding since Andrew offers some very niche tricks that can help researchers in practical application of machine learning and deep learning algorithms.
Great job!
por Varun P
•Apr 12, 2019
A very helpful course while working on Projects!
por Ravish R
•Apr 01, 2019
Nice course for getting a feel of error.
por 郑笙桦
•Apr 14, 2019
Means a lot.
por Sebastian J M
•Apr 15, 2019
excelletn
por Saber E h
•Apr 15, 2019
Cool
por Ved P G
•Apr 15, 2019
Learned a lot about dealing with datasets where training data and test data might not have the same distribution. In a practical deep learning project, a lot of decisions are strategic and this course will definitely help in making better decisions.
por Jorge B
•Apr 15, 2019
Great content on how to tune and adjust your neural networks for a proper deep learning solution
por Syed A R H
•Apr 15, 2019
The instructor voice was quite low. I couldn't hear him properly many times.
por Ankit K
•Mar 12, 2019
thanks for providing good insights on how to approach a machine learning application and where not to waste valuable efforts. I think Mr Ng has been very thoughtful to setup the structuring part as a dedicated course which highlights the importance of setting right goals and not to lose our direction during the development iterations.