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.
4651 - 4675 of 5,412 Reviews for Structuring Machine Learning Projects
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 !
By Giuseppe R
•Very good course, fundamental to have a systematic view of many useful insights for Machine Learning projects.
By Daniel H
•I wish this week's quiz will also include a programming section that'd show the actual performance difference.
By Mohamed A B
•perhaps adding code on how to synthesize images and code examples on dealing with avoidable bias and variance
By Jason D
•5 start learning with 1 start video editing. An intern and Adobe Premiere with less than a week would fix it!
By Renato R S
•Very Good, with insights not seem anywhere, but lacking exercises as the others in the specialization track.
By Swann C
•Very interesting topics so you can move onto managing Deep Learning Project more efficiently, saving time and
By Ahmed D
•I liked this course less than the others since I found very theoretical and that made me get bored sometimes
By S K R
•The over all course is good. But you should add some more challenges. Maybe another case study in each week
By Hernan g
•i would like to have a little more programming assignaments, but the course is so good and really helpfull.
By Lior R
•very helpfull for projects building and the simple explanations helped me undersatnd the material very well
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