I learned so many things in this module. I learned that how to do error analysys 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.
Actually, from this course, I learned how to start a machine learning project. I think I need some reviews.
por vishwanathan r•
There are some errors in some of the videos, either in terms of repeating content or not being able to play
por Playing C•
It was super interseting and it was fascinating to see how companies approarch error reduction management!
por Hasti K•
It is a very useful course but I preferred to have a programming assignment as well to try what I learned.
por clayton m•
Great course to help a practitioner start to develop a core framework for leading a deep learning project.
por Gregory H I•
Shared many themes/slides with the Basic Machine Learning Course by Andrew; Nonetheless, a lot learned :)
por JOSE D J N R•
Sometimes interesting, but I would have expected to get more intuition on TensorFlow before this course.
por Michael Z S•
The study case approach is great.
I recommend doing this course as last of the 5 courses, as a "wrap-up".
por Siddhant R•
the quiz answers need to be rectified or the mentors have to explain why the correct answers are correct
por Brandon K•
This course delivered some good information, but it was short and didn't have any programming exercises.
por Jaydeep R•
No coding in this course. The simulator exercises can be tricky. Nevertheless, a very important course.
por An X•
lots useful industrial level skills, however there are too much repeated content in the course i feels
por Viraat C•
not as informative as the previous two courses in the specialization, could be integrated into others
por Rufy D M•
A little bit annoying. However, it is very useful for learning how to approach to real-world problems
por Xingyu Y•
This part is very conceptual and I can't tell if they are helpful or not without actually using them.
por Lucas G•
Great course! Would have loved some programming assignments, but the flight simulator was useful too.
por Kevin C•
Curso interesante en el que se abordan temas a los que quizás no se les da la importancia necesaria.
por Emmanouil K•
Don't get me wrong: this course is full of insights, but I think it could use a little more flesh...
Nice work but i think we need more guidelines of how to finish a successful machine learning project
por Ganesh S V M K•
It is a great course but felt like not as interesting as previous 2 courses in this specialization
por Bishwarup B•
The case study two - the quiz scoring in my opinion is not setup properly. For example question 13.
por RIPUNJOY G•
Good course. Don't know what, but expected more. Wish that next courses will give that opportunity.
por Samit H•
Very short course. Questions were good. Some programming assignments would have helped a lot more.
por ARJUN K V•
It is really inspiring topic to understand all the concepts shared was seems to be really helpful.
por Emma H•
Would be happy to see also example and problems connected with numerical output in neural networks