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.
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
By mahesh p•
Was more verbose and subjective. Would have liked references to more case studies.
By Litvinau A A•
Great, but sometimes there were a problems with the videos (black screen and etc.)
By Andreea T•
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.
By Jarno R•
Extremely valuable practical information regarding how to structure ML projects.
By Onkar M•
This is a very interesting course but yes this is totally theoretical in nature.
By Thomas P•
Good high-level course on how to think about projects implementing Deep Learning
By Nicolo d G•
A bit short and light to be a course on its own but still useful in the series.
By Jose L M•
Quiz answers were not that clear. They seem more "gotcha" than "deep learning".
By Sumesh R•
It would be good to have more practical/industry scenarios added to the course.
By Victor P•
Always great, but some little issues in the content makes it feel less perfect.
By Yang C•
Great course, would expect more content for machine learning production system
By Francesco D Z•
Great class overall. Some practice example on multi-task would have been nice.
By Steve D•
Great course for a coding professional to improve on their fine tuning skills
By Maik F•
Greate knowledge, but I had a hard time motivating myself through this theroy
By José A M•
Good background theory for people starting in the field to get familiar with.
By Kumar V•
Good learning , teaches us how to diagnose and plan machone learning project.
By Fredy A O L•
El curso es muy bueno, le dá concenjos para emepzar a mirar redes neuronales
By Isara D S•
As always loved the course, simulations were great and challenging to answer
By Jeff N•
I would have loved more programming assignments and opportunity to practice.
By Mateusz O•
Kinda more theory-based compared to the last two, but still good regardless
By Animesh S•
I see the point, but takes too long to make it. But part of a great series.
By Umberto S•
useful hints and techniques to manage ML Projects and choose right approach
By Sothiro P•
I thought the course was clear and gave useful tips in leading a ML project
By Vito D•
A bit short, maybe combine this into other courses? Or expand it with labs?