Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI
About the Course
Top reviews
MG
Mar 31, 2020
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.
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!
4926 - 4950 of 5,745 Reviews for Structuring Machine Learning Projects
By Christos Z
鈥May 20, 2018
Maybe a week with an actual applied transfer learning assignment would be useful? (In addition to the existing material)
By Mohammed Y A
鈥Jun 19, 2020
The course is a bit too theoretical. Programming HW supporting iteration, error analysis will greatly help this course!
By Tatsapat S
鈥Nov 8, 2019
Nice course, it helps me more understand on structure of project and give some technique to plan project more effective
By Frederick
鈥Oct 6, 2018
Batch Norm, Multi-task learning and transfer learning exercises were missing.
Flight simulator exercise was also missing
By Ashwin A R
鈥Jan 27, 2020
It was an amazing course that helped me better understand the practical organization and application of AI/ML projects
By Jos茅 M S L
鈥Jan 11, 2018
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
鈥Jul 6, 2020
Good course and I was able to grasp some tactical and crucial factors governing the working of Deep Learning Models.
By Karan S
鈥Jul 12, 2019
Slightly boring, but from an importance standpoint, this course covers a lot of concepts which help in the long run.
By Domenico I
鈥Feb 11, 2018
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
鈥Feb 4, 2018
This course is good and give you skill of error analysis, as well as how to handle data from different distribution.
By Ernest W
鈥Jul 2, 2021
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
鈥Dec 20, 2018
I appreciated the insight brought here from the real life projects, though the quizzes/assignments need more honing
By RAHUL B
鈥Aug 2, 2020
Amazing course with an amazing mentor. He is now becoming one of my favorite mentors. Thank you so much Andrew Ng.
By Shane M
鈥Jan 12, 2018
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
鈥Jun 9, 2020
this course is really helpful for an enthusiastic deep learning student.it will help one to design a good model.
By Andrei S
鈥Oct 23, 2019
First 2 courses are brilliant. This contains sometimes to detailed explanation. Any case very useful. Thank you.
By Hamza M K
鈥Jul 29, 2018
There is no coding involved in this course but rather gives us insight into the decision making of deep learning
By Trong-Tin D
鈥Dec 5, 2017
Provide good strategies for building machine learning applications. Team leaders or managers may find it useful.
By Deleted A
鈥Jun 25, 2023
The questions in the assignment can be thought from a multi-dimensional angle so need to keep them more concise
By Madhav B K
鈥Jul 12, 2020
More of the theory concept compared to practicals. But the course has many insights how to perform several task
By Aditya B
鈥Jan 15, 2019
Loved the quizes, but few suggestions, more pop-up quizes after every lecture and more programming assignments.
By Agostino P
鈥Aug 3, 2020
Course providing a different and complementary perspective with respect to other similar training.
Well done !
By Giuseppe R
鈥Feb 3, 2019
Very good course, fundamental to have a systematic view of many useful insights for Machine Learning projects.
By Daniel H
鈥Sep 29, 2018
I wish this week's quiz will also include a programming section that'd show the actual performance difference.
By Nikolai K
鈥Mar 6, 2023
Lectures are great.
Quiz questions sometimes test one's listening or English skills rather than understanding.