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.
By Ridvan S
•"Chillout course", but "test-by-real-cases" is very exiting and very fine idea. Strong 4
By riad s
•I wish there was some practice assignments related to the concepts learnt in this course
By Vinay K
•Info about the approach in applying DL/ML concepts to various scenarios were explained.
By Vishal G
•Interesting course, but all this could have been summarised in the first course itself!
By Hao W
•This course is not so well organized as the previous two. Everything else is very good!
By Donato T
•Very valuable insight in real world usage of DL and guidance in approaching DL projects
By Wilson L
•It would be even better if there are more quiz and assignments made in ipython notebook
By Takshshila R
•This gives subtle but important knowledge
about training with different distributions.
By Rohit G
•The pacing was a little off, and perhaps some code would help. Otherwise, pretty good.
By Kirill S
•Useful and short course, but with a lot of information repetition. Could be optimized.
By Ashraf A
•Very helpful in understanding the way the machine learning projects should be managed.
By Dominik F
•Very useful, but some questions were misleading or were not discussed until next week.
By Cristian D T
•The material is good, but too short. It could have been compressed in another course.
By Manpreet S B
•Good module to learn about how to structure the ML project and getting insights of it
By Jean L
•I thought there would be more about project management specifics of machine learning.
By Lim H
•I feel like this course should be the last course in the sequence, not the third one.
By Chris U
•This class gives an excellent overview of how to optimize a machine learning project.
By Javier L P
•Missing the notes in between the videos like in the Intro to Machine Learning course
By CHIRAG J
•It was a good structures machine learning course. It helps us to grab the knowledge.
By Chang L
•Interesting lectures, not so difficult but need some knowledge about ANN in advance.
By Shreyas C S
•lot of information. Practical exercise would would helpful to solidify the concepts.
By Lucas N A
•I liked this course. It has really good tips and the quiz is challenging enough :).
By Prajjwal S
•Very much theoretical, could be more helpful if we can piratically see the changes.
By Cosmin D
•Nice and brief with valuable information about machine learning project management.
By Stanley P
•If you add more assignments not only quiz, that will be very helpful!
Thx to Andrew!