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.
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.
por Othman B•
Very interesting, but too short. The aim of the course is to provide a good overview of the different situations occuring in a project, but there is more questions arising. Experience will come with training.
por Chris M•
The information is very useful, but the text, quizzes, and video all felt a little less polished than the previous two courses. Not a big deal, but it was notable and occasionally distracted from learning.
por Antti R•
nice to follow, but I would have liked it there would have been more variance. e.g. quizzes breaking the videos. I'm basically comparing this experiment with the other courses made by Andrew/deeplearning.ai
por Samuel C•
A useful few hours of videos. I found the questions quite useful, but overall feel this project would have been better off being spread across other weeks, as it doesnt work so well as a stand-alone course.
por Sardhendu M•
Very practical. programing assignment using the concepts would help to solidify the concepts. I would really appreciate programming assignments on Transfer learning since a lot of industries practices it.
por Wiebe V•
Clear course, it would have been helpful to add notebooks to the course to have a more realistic feeling of the problems. This would make it also more clear how the dev set influences the training phase.
por Sandeep P•
The course appraises the reader of the various tricks that are needed to design nice machine learning projects. One minor suggestion would be to have some programming assignments for this course as well!
por Ed E•
Great material but a few glitches in the videos that need editing out. I'm sure the people responsible will put it right soon though; the course hasn't been out long. Part of an excellent specialisation.
por Jon-pierre H•
Overall the course was good, but lacked some minor information needed for the quizzes. The quizzes also included some questions that felt like they were meant to trick us rather than test our knowledge.
por Yuting S Y•
I didn't find this course as useful as the previous two. I'd still recommend the course because some interesting concepts are covered. The materials seem more intuitive. The quizzes are good practices!
por Noam S•
The course is very teaching in my uneducated opinion and will help m later in life, hopefully.
I wish the test question had been more coherent.
I enjoyed learning it, and the simulator is a great idea!
por Maciej B•
Course is great although only in one case we have pdf's with additional lecture notes. They are more useful than ppt slides therefore it would be desirable to have them in other parts of the course
por Fayruj F S•
The course is perfect. But it would have been better if some ways implementation was also introduced to us. But overall Andrew is really helpful to make us visualize and understand new strategies.
In this section, only strategies discussed and no programming practice. So I don't think I really understand those tricks. Maybe when I enroll in real projects, those magic will show their powers.
Very good lessons to teach the principle of how to set up a machine learning project. Lots of tricks are taught, but still hoping there could be some practical assignment to enhance the knowledge.
por Oge M•
Videos could be shorter and better edited. Supporting materials could be better. Homework assignments were tedious and included rather confusing (and borderline tricky) questions and alternatives.
por João A J d S•
It is a useful Content to keep in mind. Not as practical as other contents in the Specialisation. But, as Andrew Ng pointed out, it is a topic many times overlooked and I'm glad it was discussed.
por Rahul K•
The course is the best available on the online education platforms so far. An excellent instructor and really engaging assignments. You get it all but it lacks availability or reading materials.
por Vaddadi S R•
Lot of things to intake , Error analysis seemed more difficult to me compared to Bias/Variance Analysis. I think lot of practice is required to really remember and apply in real world problems.
por mitch d•
There are some answers on the "flight simulator" that are ambiguously worded, and one that seems to flat-out contradict what Prof. Ng said in lecture. Search the discussion forums for "foggy".
por Eric v d K•
Loved the course, and the simulation was great. Doing an actual transfer learning programming exercise in TensorFlow could be an awesome addition.
Best & thanks again for an awesome course!
por Wauters S•
Basic but super relevant and well structure! Things we may all know, but forget to think about... I highly recommand. The only reason why I did not give 5 stars is that it's sometime repetitive
por Nicolas B•
Course was really interresting with lot of insights. I would have maybe put even more examples/cases and added more quizz to get more practical training if we apply the pilot training analogy.
por Andres F O J•
It's a little bit difficult to understand some concepts, even thought with examples. So it would be nice if there are some programming in the course. That will help to understand the process.
por Tanmay S•
Andrew Ng was great. Mu only complaint for this course is was it was a bit slow paced as per my liking and could have more hands on practice for that part. Otherwise, This course was Awesome