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.
por 蕭博偉
•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.