Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição deeplearning.ai
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Melhores avaliações
I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
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.
4401 — 4425 de 5,159 Avaliações para o Structuring Machine Learning Projects
por Rashid G
•A bit light and repetitive. Could be cut down to 1 week. Would be nice to see some template code for good ML pipeline setups.
por Vik V
•Terrific material as always. This stuff also felt very real-world actionable. But no coding learning, which I was hoping for.
por Kenzi L
•This course offers a basic way of thinking to approach Machine Learning Projects. Need more intuition for advanced projects
por Thomas A
•Still great, but not quite as substantive as the first 2 courses. Enjoyed the flight simulators though, do more of that :-)
por Franz L
•I really enjoyed the course, but I think some of the responses from the mentors in the discussion forum leave some doubts.
por Oliverio J S J
•It is a very interesting course. I just regret that no documentation can be download to use it as reference in the future.
por Gustavo A V
•The missing of practical exercises I think is a real disadvantage. Is always better to learn by practice than by theory.
por Archer M
•Would be nicer if there are coding assignment that can guide us through some of the applications mentioned in the lecture
por William K
•Good and useful content. The staff should read the forum's errata section and make a bunch of fixes to the course though.
por Saurav J
•Excellent course material would have been icing on the top if there were some course exercises like previous two courses.
por Hao W
•I think some videos materials related to deep learning practice(programming assignment seems costly) will be more helpful
por Nicholas P
•an interesting short course on some of the things to be careful of when carrying out/planning a machine learning project
por James D B
•Pretty quick and easy course, but there does seem to be some good content in there. Almost no technical content, though.
por David C
•No coding exercises; only quizzes which lean slightly on trivia rather than core ideas. Nonetheless, a very good course!
por Christos Z
•Maybe a week with an actual applied transfer learning assignment would be useful? (In addition to the existing material)
por Mohammed Y A
•The course is a bit too theoretical. Programming HW supporting iteration, error analysis will greatly help this course!
por Tatsapat S
•Nice course, it helps me more understand on structure of project and give some technique to plan project more effective
por Frederick
•Batch Norm, Multi-task learning and transfer learning exercises were missing.
Flight simulator exercise was also missing
por Ashwin A R
•It was an amazing course that helped me better understand the practical organization and application of AI/ML projects
por Jose 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.
por K K V
•Good course and I was able to grasp some tactical and crucial factors governing the working of Deep Learning Models.
por Karan S
•Slightly boring, but from an importance standpoint, this course covers a lot of concepts which help in the long run.
por Domenico I
•The content of the course is unique, but I think sometimes is not totally clear how to apply some concepts and when.
por Muahammad U A
•This course is good and give you skill of error analysis, as well as how to handle data from different distribution.
por Dmitry B
•I appreciated the insight brought here from the real life projects, though the quizzes/assignments need more honing
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