ED
Aug 22, 2020
Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.
MG
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 David R N
•Sep 21, 2021
Excellent course, where you learn to diagnose a model and prioritize possible improvements in a machine learning project. Highly recommended.
By Kiet P
•Jun 28, 2020
So far I feel like this is the most important course in this specialization. Please focus because it will save you a lot of time in the future.
By Vibhutesh K S
•Oct 3, 2019
Well its a very straight forward course. Very easy, not very technical but a general overview of What to be done in a Machine learning project.
By Aron F
•Aug 28, 2019
Really great course, in difference with the first 2 courses this has got a lot of concepts, but those are clear and kind of easy to understand.
By Juan P U C
•Apr 17, 2019
I rarely rate online courses. However, this was completely worth it! Excellent course with a lot of "know-how" knowledge. I fully recommend it.
By Sergei S
•Mar 31, 2019
Among other courses of this series, this course brings up some of the most important things every (deep learning) scientist should be aware of.
By S L
•Mar 24, 2019
Andrew Ng is such a great teacher, it is a pleasure to learn machine learning and deep learning from his well thought-out lectures and examples
By HAMID S
•Oct 23, 2018
Awesome . Thank you Andrew N G for these very valuable beautiful concept boosting insights .Very Very good . Really awesome insights and quizes
By Manjunath M
•Jul 8, 2018
Great Course, learnt many new aspects that are found nowhere on Internet or Books.Thanks Stanford, Thanks Prof Andrew and Assistant Professors!
By Fares I
•Jun 30, 2018
I enjoyed the course, the information provided were very beneficial and its not something you can easily read about in other courses or online!
By Pierre F
•Jun 24, 2018
Excellent training to get organized in a Deep Learning project, explaining on real use cases how to select the multiple approaches and tactics.
By Fady B
•May 24, 2018
a very important course providing real life experience with problems we face in our projects. it's a much needed skill that everyone must have.
By Albert M
•Mar 6, 2018
This is the kind of advice you wish you have had in your last ML / DL project. I really appreciate all the information given by the instructor.
By Navy X
•Oct 1, 2017
This course expands my view on ML, for example how to analyze errors, and how to make a decision that leads an AI project to a right direction.
By Florian C
•Jan 16, 2021
Really helpful course for getting a better idea of how to approach a deep learning project and what steps to take during the development phase
By Kathiresan S
•Aug 16, 2020
Great course, loved the content! The instructor provided great advice on how to tackle problems one might encounter while training neural nets
By 김홍숙
•Aug 9, 2020
Plenty of pratical experienece and guidelines that can be used in the practice of DL network defintion and planning of workflow related to DL.
By Sandeep P
•May 21, 2020
Nice explanation of how to work on deep learning project. Course explains practical aspects, which otherwise I would never understand. Thanks,
By Sreenivas M
•Jan 30, 2020
Really well structured concise course. Knowing what to do when in a machine learning project is really important and this course teaches that.
By Armaan B
•Aug 17, 2019
Wish I'd done this coarse 2 years ago when we started working on our own ML problems. It's extremely insightful. Will certainly revisit again.
By Sumandeep B
•Dec 17, 2017
Very good intuitive insights into designing the best suited DL solution as well as making the most out of data and improve system performance.
By Jingbo L
•Nov 20, 2017
It is very helpful to have a big picture of where the project goes, and how to make a good use of time to make a bigger impact on the project.
By Cameron D K
•Nov 18, 2017
The material in this course is very important. It is not found in books or easily found on the Internet. Very valuable and highly recommended.
By Adarsh
•Nov 9, 2020
Really great course for getting to know thee errors in deep learning and how to deal with them. Good explaination of Train , dev , test sets.
By Tarun S
•May 23, 2020
A well organized and structured course for anyone who wants to optimize the performance of their model and do the error analysis efficiently.