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.
por Yiyou L•
Nov 13, 2017
This is a very good course. Worth taking. I am currently a data scientist and in my daily work I face a lot of data mismatch problems and I have no idea what to do after error analysis. This provides a very good guideline of how to structure our deep learning projects and what should be the thinking logics behind. Thank you Andrew I really love it.
por Nitin G•
Nov 15, 2019
Have taken a formal 1 year course from a prominent Institute but these kind of concepts were never covered there. The beauty of this course and all courses by Andrew Ng is that they are so simple and easy to understand that one can't help but only understand the concepts. Best methodology and delivery of teaching I have found online. Thanks a lot.
May 11, 2020
Excellent course and well presented material. I would like to recommend all the ML engineers to review this course before starting actual development. This course explains different intuitions and techniques with reasons what to choose, where to apply and when to apply.
Great course. Enjoyed a lot. Thanks Andrew for your precious time and efforts.
por Urso W•
Sep 08, 2017
Having followed this course I have learned how to address common problems that I have found in the evaluation of performance of my neural net based on fed datasets. I am now able to reason much better (thoughtful) on the problems that I encounter having learned some error analysis techniques which have been addressed in this course. Thumbs up!
por Ondrej T•
Dec 25, 2018
I really liked the programming assignments in the two previous courses (although, it was usually not enough challenging for me). In this course, I found "case study" assignments very useful and exciting. So far, I am very satisfied with the DeepLearning Specialization; I will definitely continue to the 4th and 5th course. Many thanks for it!
por Li-Han C•
Dec 12, 2019
I thought it's a trivial course and I didn't expect that much. HOWEVER, I must say this is one of the most important courses EVER in ML. SO MUCH I should larn before doing my dissertation. I really don't need to DIY so many things. Thank you, teacher Andrew for sharing the treasure experience. I really learn many concepts from your lecture!
por Oly S•
Jul 07, 2019
Wow. This course is densely packed with really great *practical* and well-justified advice, based on Prof. Ng's extensive experience. There's lots of wisdom here for taking the step from understanding 'in principle' how machine learning can be applied, to having practical understanding of the techniques to get it to really work in practice.
por Alejandro S M•
Feb 17, 2018
Very interesting course to avoid common pitfalls and have already some developed intuition without having worked in any ML project before.
The case studies in the quiz are extremely helpful as some concepts can be a bit confusing and they help clarify the doubts you might have in the subtleties between the different situations you may find.
por Carlos V•
Dec 26, 2017
"Structuring Machine Learning Projects" provide so many good practices in how to correctly implement Deep Learning Models, troubleshoot them and make them better, the tips and recommendations are excellent, highly recommended to anyone interested in deep learning this is a fantastic Course, thanks to everyone that make this Course possible.
por Reza M•
May 11, 2020
When you deiced to join AI teams, you need to tackle out-of-the-blue and state-of-the-art problems. Managing this kind of situations aren't easy and need different tips and tricks based on the problem statements. This course come up with brilliant ideas to make up your mind in these challenges. Great job! Coursera and deeplearning.ai
por Shivdas P•
Dec 25, 2019
This course gives a very intuitive understanding for analysing performance of neural networks and strategies to go about improving them. Also liked the introduction for Transfer Learning. The quiz which was kind of a pilot simulator for machine learning project, is excellent in understanding the decision making process for such use-cases.
por Rahul K•
Mar 01, 2018
Really well structured material! Don't be fooled by the lack of assignments, though; this course is pretty theoretically challenging. Pay extra attention to all the data distribution lectures - they are bound to come in handy in practical use. I learnt tons of really useful information from this course. As usual, hats off to Prof. Andrew!
por Raimond L•
Aug 23, 2017
This course provides a lot of interesting topics, which are general things to understand before taking on any deep learning project. I highly recommend listening to this course. It widened my view on projects I work on.
Quizzes on the other hand are bit of a mess on this course (however they are giving enough challenge to apply the theory)
por Sriram V•
Oct 09, 2019
Another set of insightful patterns from Andrew' (as well as his team') experience was stitched well together. Definitely, most of the discussions were thought-provoking for someone who is late entrant in this space. Some more reading (optional) could have added to enable us to understand more common problems in Machine Learning projects.
por Utkarsh P•
Mar 11, 2019
This course is extremely valuable for any Machine Learning student. It covers a lot of important concepts that need to be used even for simple ML tasks (not deep learning). This course provides a framework to iterate on your problems and I believe that will make the most difference in how fast you are able to achieve desired performance.
por Rishubh K•
Mar 14, 2018
Really unique content. People do talk about this stuff but providing access to these learnings in a structured manner i amazing. I feel I could now lead my efforts in DL project much more efficiently. I felt the case studies were amazing. I wish we had more of those available to us to practice. But, nonetheless, great work. Thanks much!
por Subhasis M•
Oct 12, 2017
This is an excellent overview of the points that someone taking up an ML/DL project should keep in mind. Though this is not a comprehensive guide, which is understandable given the stipulated duration online courses like this are meant for, this is a definitive guide to give someone a nice head start into structuring his ML/DL project.
por Dmitry R•
Apr 15, 2020
This, in my opinion, is the most important course in the specialization! It teaches you how to plan your machine learning project, which errors and challenges can rise during implementation and how can you deal with them. Personally, I feel it helped me a lot as I currently try to plan my machine learning project as part of my thesis.
por Fasih U•
May 26, 2019
I learned a lot about different strategies to chose for getting fast and much better out come from this course. Also downloaded the book mlyearning written by Dr. Andrew. So that i will have all this in my hand when i will need this strategies to review. Thank you Andre Ng for giving this much information. You are the best I love you.
por Ankit K•
Mar 12, 2019
thanks for providing good insights on how to approach a machine learning application and where not to waste valuable efforts. I think Mr Ng has been very thoughtful to setup the structuring part as a dedicated course which highlights the importance of setting right goals and not to lose our direction during the development iterations.
por Kunjin C•
Sep 05, 2017
Compared with the previous two courses in this special, this course is more practical and useful when we are actually trying to solve real-world problems. After taking this course, one will have a clearer mind in terms of making the most out of data from different sources as well as coming up with better solutions to certain problems.
por Cristina N•
Dec 19, 2017
Absolutely LOVED this course: with the two "case study" you can really get a sense of what does it mean to set up a real ML/DL project and how to address the problems you may (and you're very likely to) face by building up or leading a ML/DL project.
If you're thinking about learning Deep Learning, this course is absolutely NECESSARY!
por Tesfagabir M•
Aug 18, 2017
This is my third course in the deep learning specialization. I have learned a lot related to different strategies with machine learning projects. The concepts are easily explained with practical examples. The assignments are also very helpful for applying in real machine learning projects. Thank you professor Ng. You are the best!!!!
por Ayomi A•
Mar 01, 2018
Excellent course and very interesting !!
Allows you to analyze real ML problems and supports you with the basic and essential skills needed to develop ML algorithm and evaluate its performance and how to approach the issues that one can encounter during the iterative process, what are the options, which is the best to go with, etc.
por Ayush P•
Dec 03, 2017
Really good course to develop an approach to NN problems. I thank you Sir Andrew Ng for all the courses that you have made available on Coursera. It has been an really awesome experience learning about neural networks from you. I will finish the remaining courses and recommend it to people who want to pursue a career in ML and AI.