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 analysys 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 analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
4551 — 4575 de 5,295 Avaliações para o Structuring Machine Learning Projects
por Delowar S
•this course is really helpful for an enthusiastic deep learning student.it will help one to design a good model.
por Andrei S
•First 2 courses are brilliant. This contains sometimes to detailed explanation. Any case very useful. Thank you.
por Hamza M K
•There is no coding involved in this course but rather gives us insight into the decision making of deep learning
por Trong-Tin D
•Provide good strategies for building machine learning applications. Team leaders or managers may find it useful.
por Madhav B K
•More of the theory concept compared to practicals. But the course has many insights how to perform several task
por Aditya B
•Loved the quizes, but few suggestions, more pop-up quizes after every lecture and more programming assignments.
por Agostino P
•Course providing a different and complementary perspective with respect to other similar training.
Well done !
por Giuseppe R
•Very good course, fundamental to have a systematic view of many useful insights for Machine Learning projects.
por Daniel H
•I wish this week's quiz will also include a programming section that'd show the actual performance difference.
por Mohamed A B
•perhaps adding code on how to synthesize images and code examples on dealing with avoidable bias and variance
por Jason D
•5 start learning with 1 start video editing. An intern and Adobe Premiere with less than a week would fix it!
por Renato R S
•Very Good, with insights not seem anywhere, but lacking exercises as the others in the specialization track.
por Swann C
•Very interesting topics so you can move onto managing Deep Learning Project more efficiently, saving time and
por Ahmed D
•I liked this course less than the others since I found very theoretical and that made me get bored sometimes
por S K R
•The over all course is good. But you should add some more challenges. Maybe another case study in each week
por Hernan g
•i would like to have a little more programming assignaments, but the course is so good and really helpfull.
por Lior R
•very helpfull for projects building and the simple explanations helped me undersatnd the material very well
por yang
•Actually, from this course, I learned how to start a machine learning project. I think I need some reviews.
por vishwanathan r
•There are some errors in some of the videos, either in terms of repeating content or not being able to play
por Playing C
•It was super interseting and it was fascinating to see how companies approarch error reduction management!
por Hasti K
•It is a very useful course but I preferred to have a programming assignment as well to try what I learned.
por clayton m
•Great course to help a practitioner start to develop a core framework for leading a deep learning project.
por Gregory H I
•Shared many themes/slides with the Basic Machine Learning Course by Andrew; Nonetheless, a lot learned :)
por JOSE D J N R
•Sometimes interesting, but I would have expected to get more intuition on TensorFlow before this course.
por Michael Z S
•The study case approach is great.
I recommend doing this course as last of the 5 courses, as a "wrap-up".
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