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 Priyanka T
•I thought this course was great content wise, but needs to improve on the errata in the content (repeated video sections), and quiz.
por Bingnan L
•I think it should be useful but since I haven't got many practical experience, the course seems a little bit hard to catch up with.
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 S
•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
•This course offers a basic way of thinking to approach Machine Learning Projects. Need more intuition for advanced projects