MG
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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.
TR
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This is a must course in the entire specialization. It covers the step by step procedure to approach and solve a problem. The case studies provided are real world problems which are so much helpful.
By riad s
•Sep 21, 2017
I wish there was some practice assignments related to the concepts learnt in this course
By Vinay K
•Feb 5, 2020
Info about the approach in applying DL/ML concepts to various scenarios were explained.
By Vishal G
•Dec 19, 2019
Interesting course, but all this could have been summarised in the first course itself!
By Hao W
•Jun 16, 2019
This course is not so well organized as the previous two. Everything else is very good!
By donato t
•Jun 15, 2019
Very valuable insight in real world usage of DL and guidance in approaching DL projects
By Wilson L
•Sep 16, 2017
It would be even better if there are more quiz and assignments made in ipython notebook
By Eugene K
•Jul 16, 2023
Not a necessary course in my opinion. His other courses in this series is much better.
By Ілля С
•Jun 8, 2023
The theory from videos is awesome but the tests have less specific problem description
By Takshshila R
•Jul 1, 2020
This gives subtle but important knowledge
about training with different distributions.
By Rohit G
•Mar 26, 2020
The pacing was a little off, and perhaps some code would help. Otherwise, pretty good.
By Kirill S
•Feb 29, 2020
Useful and short course, but with a lot of information repetition. Could be optimized.
By Ashraf A
•Nov 16, 2019
Very helpful in understanding the way the machine learning projects should be managed.
By Dominik F
•Jul 25, 2019
Very useful, but some questions were misleading or were not discussed until next week.
By Cristian D T
•Oct 30, 2017
The material is good, but too short. It could have been compressed in another course.
By manpreet s
•Oct 8, 2018
Good module to learn about how to structure the ML project and getting insights of it
By Jean L
•Aug 20, 2018
I thought there would be more about project management specifics of machine learning.
By Lim H
•May 20, 2018
I feel like this course should be the last course in the sequence, not the third one.
By Chris U
•Sep 25, 2017
This class gives an excellent overview of how to optimize a machine learning project.
By Deleted A
•Apr 17, 2020
Missing the notes in between the videos like in the Intro to Machine Learning course
By CHIRAG J
•Apr 9, 2020
It was a good structures machine learning course. It helps us to grab the knowledge.
By Chang L
•Jun 22, 2018
Interesting lectures, not so difficult but need some knowledge about ANN in advance.
By Shreyas C
•Nov 26, 2017
lot of information. Practical exercise would would helpful to solidify the concepts.
By Shubham S
•Jun 17, 2021
Very informative and helpful. But would have loved a bit more assignments/projects.
By Lucas N A
•Mar 22, 2020
I liked this course. It has really good tips and the quiz is challenging enough :).
By Prajjwal S
•Dec 6, 2019
Very much theoretical, could be more helpful if we can piratically see the changes.