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.
por Litvinau A A•
Great, but sometimes there were a problems with the videos (black screen and etc.)
por Andreea B•
Very good tips and tricks, but I would have preferred it to be even more advanced.
Briefly share Andrew's experience for directing what to do next in a ML project.
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 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 Manage I O 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.