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.
por Jarno R•
Extremely valuable practical information regarding how to structure ML projects.
por Onkar M•
This is a very interesting course but yes this is totally theoretical in nature.
por Thomas P•
Good high-level course on how to think about projects implementing Deep Learning
por Nicolo d G•
A bit short and light to be a course on its own but still useful in the series.
por Jose L M•
Quiz answers were not that clear. They seem more "gotcha" than "deep learning".
por Sumesh R•
It would be good to have more practical/industry scenarios added to the course.
por Victor P•
Always great, but some little issues in the content makes it feel less perfect.
por Y C•
Great course, would expect more content for machine learning production system
por Francesco D Z•
Great class overall. Some practice example on multi-task would have been nice.
por Steve D•
Great course for a coding professional to improve on their fine tuning skills
por Maik F•
Greate knowledge, but I had a hard time motivating myself through this theroy
por José A M•
Good background theory for people starting in the field to get familiar with.
por Kumar V•
Good learning , teaches us how to diagnose and plan machone learning project.
por Fredy A O L•
El curso es muy bueno, le dá concenjos para emepzar a mirar redes neuronales
por Isara D S•
As always loved the course, simulations were great and challenging to answer
por Jeff N•
I would have loved more programming assignments and opportunity to practice.
por Mateusz O•
Kinda more theory-based compared to the last two, but still good regardless
por Animesh S•
I see the point, but takes too long to make it. But part of a great series.
por Umberto S•
useful hints and techniques to manage ML Projects and choose right approach
por Sothiro P•
I thought the course was clear and gave useful tips in leading a ML project
por Vito D•
A bit short, maybe combine this into other courses? Or expand it with labs?
por Francisco J M O•
Muy interesante, se aprende mucho en situaciones aplicables a la vida real
por Jean-Michel C•
Very useful tricks / method to approach typical machine learning projects.
por Mandlenkosi N•
I loved the use cases it gave a practical uses of what I've been learning.
por subho c•
Some hands on exercise to complement the theory would have been excellent.