Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
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!).
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.
4676 - 4700 of 5,449 Reviews for Structuring Machine Learning Projects
By Hao W
•I think some videos materials related to deep learning practice(programming assignment seems costly) will be more helpful
By Nicholas P
•an interesting short course on some of the things to be careful of when carrying out/planning a machine learning project
By James D B
•Pretty quick and easy course, but there does seem to be some good content in there. Almost no technical content, though.
By David C
•No coding exercises; only quizzes which lean slightly on trivia rather than core ideas. Nonetheless, a very good course!
By Christos Z
•Maybe a week with an actual applied transfer learning assignment would be useful? (In addition to the existing material)
By Mohammed Y A
•The course is a bit too theoretical. Programming HW supporting iteration, error analysis will greatly help this course!
By Tatsapat S
•Nice course, it helps me more understand on structure of project and give some technique to plan project more effective
By Frederick
•Batch Norm, Multi-task learning and transfer learning exercises were missing.
Flight simulator exercise was also missing
By Ashwin A R
•It was an amazing course that helped me better understand the practical organization and application of AI/ML projects
By José M S L
•A very good course. In my opinion, I would have like to have more practical examples or more tests to prove yourself.
By K K V
•Good course and I was able to grasp some tactical and crucial factors governing the working of Deep Learning Models.
By Karan S
•Slightly boring, but from an importance standpoint, this course covers a lot of concepts which help in the long run.
By Domenico I
•The content of the course is unique, but I think sometimes is not totally clear how to apply some concepts and when.
By Muhammad U A
•This course is good and give you skill of error analysis, as well as how to handle data from different distribution.
By Ernest W
•I think this course would be more valuable if I have more experience so I could fully understand what I've learned.
By Dmitry B
•I appreciated the insight brought here from the real life projects, though the quizzes/assignments need more honing
By RAHUL B
•Amazing course with an amazing mentor. He is now becoming one of my favorite mentors. Thank you so much Andrew Ng.
By Shane M
•Some mistakes in the audio. Test questions from week 1, seemed like some of them came from the material in week 2?
By Delowar S
•this course is really helpful for an enthusiastic deep learning student.it will help one to design a good model.
By Andrei S
•First 2 courses are brilliant. This contains sometimes to detailed explanation. Any case very useful. Thank you.
By Hamza M K
•There is no coding involved in this course but rather gives us insight into the decision making of deep learning
By Trong-Tin D
•Provide good strategies for building machine learning applications. Team leaders or managers may find it useful.
By Madhav B K
•More of the theory concept compared to practicals. But the course has many insights how to perform several task
By Aditya B
•Loved the quizes, but few suggestions, more pop-up quizes after every lecture and more programming assignments.
By Agostino P
•Course providing a different and complementary perspective with respect to other similar training.
Well done !
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