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.
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!).
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
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 Ernest W•
I think this course would be more valuable if I have more experience so I could fully understand what I've learned.
por Dmitry B•
I appreciated the insight brought here from the real life projects, though the quizzes/assignments need more honing
por RAHUL B•
Amazing course with an amazing mentor. He is now becoming one of my favorite mentors. Thank you so much Andrew Ng.
por Shane M•
Some mistakes in the audio. Test questions from week 1, seemed like some of them came from the material in week 2?
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.