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.
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.
por Zheng Z•
I think a little bit more programming homework can help me better understand the concepts, but other than that everything is good.
por Giovanni C•
It's a good course to gain an initial understanding on the role that different real-world considerations play in Deep Learning NN.
por Daniel C K•
Good course, covering interesting topics. Seemed too easy without enough content to make you feel like you mastered the subjects.
por Prithvi M•
The course was very helpful. But I found some concepts to be repetitive. But it helped me to understand how to tackle the errors.
por Eche I•
Very good insight on how to approach machine learning projects and the kind of things to look out for and tackle as they appear.
por Hristo B•
It gives guidance on how not to waste your team's time - quite valuable. There are some slight inclarities in the test questions.
por Elias F•
This course helped me understand the basic ideas behind deep learning and how to close the understanding of the previous courses.
por Caio B•
No programming exercises in this course....Programming exercises helps to fix what we've learn. Overall, very good course though
por Jesse S•
Nice "flight simulator" approach, taking students to advanced strategic decision-making directly, bypassing years of experience.
por Qian N•
I wish there were more simulations (quizs) since this course aims at improving project structuring. 2 quizs are just not enough!
por Cristhian S S•
me agrado, pero no tanto como lo demás cursos de la serie, lo debieron poner entre los otros capitulos.. :) igual estuvo genial
por Duhai A•
Rather less coding in this course. However, if you are about to embark in ML project, the advice you will get here is valuable.
por Kailash K P C•
More examples other than speech recognition and self driving car would have been useful. Multitask learning was not very clear.
por Jun W•
This course is mainly about the concepts. But it makes me know why and when I can use pre-trained models and transfer learning.
por Parth P•
This course is absolutely for who is coming out to structure the projects and research the tuning the Machine learning models.
por Ganesh M S•
Learnt a lot about machine learning. One of the finest collection of all the information related to machine learning concepts.
por Enes B•
The content is great, but the there are some HW questions that should be reviewed and the wording of which should be improved.
por Rex C D•
I brief look at the project management aspects of deep learning. More flight simulators (case studies) would be very helpful.
por Akash D•
Simple and yet a great course! Exposes us to a very well explained and justified set of guidelines on how to improve learning.
por Aditya M•
The videos are fast forwarded which causes problem while understanding difficult portions of the course please slow it down .
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 I•
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.