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!