Mar 31, 2020
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.
Nov 23, 2017
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.
교육 기관: 蕭博偉•
Jan 13, 2020
Briefly share Andrew's experience for directing what to do next in a ML project.
교육 기관: Jarno R•
Sep 11, 2019
Extremely valuable practical information regarding how to structure ML projects.
교육 기관: Onkar M•
Jun 11, 2019
This is a very interesting course but yes this is totally theoretical in nature.
교육 기관: Thomas P•
Sep 21, 2017
Good high-level course on how to think about projects implementing Deep Learning
교육 기관: Nicolo d G•
Feb 17, 2019
A bit short and light to be a course on its own but still useful in the series.
교육 기관: Jose L M•
Oct 02, 2018
Quiz answers were not that clear. They seem more "gotcha" than "deep learning".
교육 기관: Sumesh R•
Apr 09, 2018
It would be good to have more practical/industry scenarios added to the course.
교육 기관: Victor P•
Nov 10, 2017
Always great, but some little issues in the content makes it feel less perfect.
교육 기관: Francesco D Z•
Sep 25, 2017
Great class overall. Some practice example on multi-task would have been nice.
교육 기관: Steve D•
May 10, 2020
Great course for a coding professional to improve on their fine tuning skills
교육 기관: Maik F•
Apr 01, 2019
Greate knowledge, but I had a hard time motivating myself through this theroy
교육 기관: José A M•
Aug 05, 2018
Good background theory for people starting in the field to get familiar with.
교육 기관: Kumar V•
Oct 15, 2017
Good learning , teaches us how to diagnose and plan machone learning project.
교육 기관: Manage I O D S•
Apr 23, 2020
As always loved the course, simulations were great and challenging to answer
교육 기관: Jeff N•
Mar 18, 2018
I would have loved more programming assignments and opportunity to practice.
교육 기관: Animesh S•
Jun 16, 2019
I see the point, but takes too long to make it. But part of a great series.
교육 기관: Umberto•
Apr 05, 2019
useful hints and techniques to manage ML Projects and choose right approach
교육 기관: Sothiro P•
Sep 11, 2018
I thought the course was clear and gave useful tips in leading a ML project
교육 기관: Vito D•
Sep 22, 2017
A bit short, maybe combine this into other courses? Or expand it with labs?
교육 기관: Jean-Michel C•
Dec 30, 2018
Very useful tricks / method to approach typical machine learning projects.
교육 기관: Mandlenkosi•
Dec 10, 2018
I loved the use cases it gave a practical uses of what I've been learning.
교육 기관: subho c•
Sep 30, 2018
Some hands on exercise to complement the theory would have been excellent.
교육 기관: Yisheng Y•
Jan 25, 2018
I am pretty surprise that this course does not have programming assginment
교육 기관: dh•
Oct 17, 2017
provide student with some code tests like previous courses may be better .
교육 기관: Ruifang W•
Aug 23, 2017
quite detailed and easily accepted way of understanding all the materials.