Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
YP
Jul 26, 2018
Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN鞚 鞁れ牅 鞝侅毄頃犽晫 氚橂摐鞁 鞚错暣頃橁碃 鞝侅毄頃挫暭 頃 鞁れ鞝 雮挫毄霌る 甑劚霅 氅嬱 旖旍姢 鞛呺媹雼!
SB
May 7, 2020
This course gave some very useful tips on how to start with a Machine learning project when I was struggling to do so. It also gave useful information about error analysis and data set distribution.
4951 - 4975 of 5,746 Reviews for Structuring Machine Learning Projects
By Nikolai K
鈥Mar 6, 2023
Lectures are great.
Quiz questions sometimes test one's listening or English skills rather than understanding.
By Aziz B
鈥Mar 26, 2020
perhaps adding code on how to synthesize images and code examples on dealing with avoidable bias and variance
By Jason D
鈥Dec 15, 2018
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
鈥Nov 22, 2017
Very Good, with insights not seem anywhere, but lacking exercises as the others in the specialization track.
By Swann C
鈥Oct 6, 2017
Very interesting topics so you can move onto managing Deep Learning Project more efficiently, saving time and
By Ahmed D
鈥Mar 2, 2019
I liked this course less than the others since I found very theoretical and that made me get bored sometimes
By S K R
鈥Jan 23, 2021
The over all course is good. But you should add some more challenges. Maybe another case study in each week
By Hernan g
鈥Nov 13, 2020
i would like to have a little more programming assignaments, but the course is so good and really helpfull.
By Lior R
鈥Feb 8, 2020
very helpfull for projects building and the simple explanations helped me undersatnd the material very well
By akyang
鈥Aug 8, 2019
Actually, from this course, I learned how to start a machine learning project. I think I need some reviews.
By vishwanathan r
鈥Nov 2, 2017
There are some errors in some of the videos, either in terms of repeating content or not being able to play
By Sudikshan R
鈥Sep 11, 2020
It was super interseting and it was fascinating to see how companies approarch error reduction management!
By Hasti K
鈥Oct 3, 2019
It is a very useful course but I preferred to have a programming assignment as well to try what I learned.
By clayton m
鈥Sep 15, 2019
Great course to help a practitioner start to develop a core framework for leading a deep learning project.
By Gregg H
鈥Nov 12, 2017
Shared many themes/slides with the Basic Machine Learning Course by Andrew; Nonetheless, a lot learned :)
By JOSE D J N R
鈥May 31, 2020
Sometimes interesting, but I would have expected to get more intuition on TensorFlow before this course.
By Michael Z S
鈥Apr 5, 2020
The study case approach is great.
I recommend doing this course as last of the 5 courses, as a "wrap-up".
By Siddhant R
鈥Jan 23, 2019
the quiz answers need to be rectified or the mentors have to explain why the correct answers are correct
By Brandon K
鈥Nov 17, 2017
This course delivered some good information, but it was short and didn't have any programming exercises.
By Jaydeep R
鈥Jul 14, 2020
No coding in this course. The simulator exercises can be tricky. Nevertheless, a very important course.
By An X
鈥Sep 6, 2019
lots useful industrial level skills, however there are too much repeated content in the course i feels
By Kayvon P
鈥Dec 16, 2023
great teaching quality from Andrew as always although I found some of the content a little repetitive
By Viraat C
鈥May 31, 2020
not as informative as the previous two courses in the specialization, could be integrated into others
By Francesco N
鈥Jan 28, 2018
A little bit annoying. However, it is very useful for learning how to approach to real-world problems
By Xingyu Y
鈥Aug 28, 2017
This part is very conceptual and I can't tell if they are helpful or not without actually using them.