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.
By MOHD F•
Jul 23, 2019
Amazing Course ... different structuring strategies involving Orthogonalization, Single number evaluation metric, Carrying out error analysis, and how Cleaning up incorrectly labelled data including Transfer Learning are Beautifully explained by Andrew Ng...KUdos
By Kunal N•
Feb 18, 2018
The best part of this course was the "ML Flight Simulator" questionnaires (peacotopia, auto-driving). These real life examples and grading on that is the best thing. It helps you learn and interpret the concepts much nicer. I wish there were more of such examples.
By Anurag A•
Sep 11, 2017
This course has been really insightful into how we should work with machine learning projects. True, that most of the ideas discussed here are not covered in normal university curriculum. Thanks a lot to Professor Ng for coming out with this really helpful course.
By Akshat J•
Apr 11, 2020
Once a person has a knowledge of how to become a developer in the prevoius courses, this course gives you the knowledge to escalate from developer to a project architect. It teaches crucial techniques required to guide the training model to produce better result.
By Selim R•
Nov 19, 2017
I feel this is an extremely important course for all aspiring deep learning practitioners: being good is not only about knowing the algorithms and architectures, but also how to best manage your time and choose the most promising avenues to explore. A rare course
By Fahimul H•
May 31, 2020
This was a much needed course after the 2nd one in this specialization! This course provides a clear and essential picture that is needed during development stage as well as shows the scopes of applying different techniques/blocks that were taught in course two.
By Raul T•
Oct 09, 2017
Shows methods for improving performance of deep learning setups in a time efficient manner. I like that deciding what to try next for improving a deep learning setup's performance is a recurring topic in Andrew Ng's courses. Knowing this can save a lot of time.
By ISAIAH H A•
May 22, 2020
This class, although short, was very interesting and serves as a useful guide to aid in building a deep learning model from scratch. The quizzes are really interesting as well as it makes you think about a step-by-step process in your own model implementation.
By Jay G•
Oct 06, 2018
A fantastic course. I believe the strategies presented are practical and powerful in actually developing a deep learning system. I very much look forward to encountering those first problems and using these strategies to guide my model development. Well done!!
By Gillian P•
Mar 02, 2018
Great course covering topics that are not seen anywhere esle and are probably highly udnerestimated. The graded simulations are a very good idea that could be used in other courses as well. Professor Ng excellent performance is no surprise for anyone having fol
By Kyung-Hoon K•
Nov 23, 2017
This strategic thinking for planning ahead will absolutely save tons of times of ML developers when building a real-world ML system. This course gave me a lot of thinking points, even without programming assignment. Thanks professor Ng, Mentors, and classmates!
By Matthias T H H•
Aug 27, 2017
Excellent course on how to analyze errors of machine learning applications. This material provides good ways to improve the speed of iteration over any machine learning project.
This class is unique as professors rarely provide this kind of insights. Thank you!
By Balaji G•
Apr 25, 2020
A very much essential course for a ML team manager.. In-depth insights into the error analysis and to study the performance of the network in different perspectives. Hats-off to Prof.Andrew Ng for very nice demonstrations with lots of examples and case study.
Jan 11, 2019
Worth the time and effort. Although this course did not contain the programming aspects, but it was helpful nevertheless. This course actually taught me how to properly go about my machine learning project and how to troubleshoot if I encounter some problems.
By DOLA R•
Aug 26, 2018
This course give me direction to structure my project in better way. Content of this course was really awesome and most amazing part was the flight simulator for machine learning. Thank you Andrew Ng sir for beautifully presenting the idea, thank you so much.
By Benji T•
Feb 18, 2018
Short course but i think this is the most important course out of the 3 as it is more applied. Everything in this course is new to me... , had to read the discussion for help on the quiz. Hope to appreciate what i learn after i start my deep learning project!
By Vijay A•
Dec 23, 2017
Knowing the algorithms alone doesn't help much in developing ML applications. We should be able to tackle any problem and drive our project towards the intended goal.This course provides some handy tips and tactics for the same.Well taught as usual. Cheers!!!
Sep 07, 2017
This course is very useful. The 'Simulator' is very cool. After finishing the homework, I have a better understanding on how do deal with a real project. I'm trying to solve a problem in my work, I think this skills mentioned in the course will help me a lot.
By Victor A M B•
Feb 09, 2020
Un curso corto con mucha información, pero muy muy instrucivo de cómo abordar los proyectos de deep learning o redes neuronales, se te enseña desde el análisis del error hasta la transferencia de conocimiento, lo cual es bastante interesante.
By Alexandre D•
Aug 28, 2019
It's really nice to have Andrew share his practical knowledge and experience. Paying careful attention to data distributions and doing ErrorAnalysis to learn where to focus your efforts are valuable insights. Thanks for making us all better DL practitioners.
By Jonathan L•
Dec 18, 2018
This course gives you a good understanding of how to approach deep learning projects and machine learning problems in general. After this course you should feel more comfortable understanding how to structure your projects and better optimize your time use.
By Leonard N B•
Aug 25, 2017
Andrew provided lots of information in a two-week period due to this the course feels more dense than the previous two. The quiz has also been more challenging. Overall though, it is still top notch teaching from the best. Looking forward to Course 4 and 5.
By Debojyoti D•
Mar 18, 2019
Prof.Nag and Team, had really gave immense effort to make things brain friendly. Really appreciate the effort to make this so easy going, but conceptually very high content. Recommend not to finish over night, but trick is to go slow and grasp the content.
By Ehsan M K•
Aug 23, 2017
This course is very important as it offers solutions that don't exist in literature to tackle real DL problems. Andrew Ng is basically teaching you from his vast experience. I highly recommend it esp. for those who want to design / implement DL products.
By Yogendra S•
Apr 18, 2020
I think despite being more theoretical course than the previous ones, it is still one of the most important courses in this specialization as we learn about how to handle a real life project and mitigate the problems that arise in a more systematic way.