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.
Jul 02, 2020
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
автор: Gaurav K•
Sep 07, 2017
Amazing tips shared for structuring machine learning projects, which were ignored in most of the other ML books. Building a model is one thing, but tuning it to make it work better in the real world is more important which this course focuses.
Thanks Prof. Andrew Ng for the consistent support of spreading knowledge!
автор: Yuezhe L•
Nov 20, 2018
This is a very helpful class. I have been working on machine learning projects for years. This course provides methods to systematically trouble shoot problems in a machine learning project. Despite all the samples are using neural networks, the methodology can be applied to improve other machine learning projects.
автор: Bernard O•
Oct 25, 2018
Excellent course on managing through the thick of bias/variance tradeoffs. Been doing a lot just based on things I have picked up through experience, but this course puts a the quantitative rigor and discipline behind the art. The sections on transfer and end to end deep learning were eye opening sections for me.
автор: Gema P•
Feb 25, 2018
This course is strategically very important so congrats on making it
I would add a programming assignment including transfer learning or multi-task learning implementation due to the multiple cases of use that are today in the industry.
Thanks again for making this Wonderfull material available to the community ^^
автор: BAZIL F•
Dec 29, 2019
Very useful course for understanding nuances of AI and different useful techniques in strategizing the approaches. Extremely useful in architecting, designing and delivery of the complex solutions involving AI (even as a sub-component). Prof. Andrew Ng is always a pleasure and honor to learn from. Thank You Sir!
автор: Harvey Q•
Sep 04, 2017
Really inspiring course, and UNIQUE. No other class, I think, provide these suggestions on the big question "what's next?" in ML projects. The videos are a bit weirdly sequenced. But they provide very systematic ways of project starting, data splitting, model evaluating, problem finding and tuning. Great course!
автор: Pedro B M•
Feb 28, 2019
This a course on key practices one should have when developing a ML project. Once again Andrew Ng is very pedagogical, teaching sometimes complex concepts in a easy to understand and practical way. I particularly liked the case studies, where the learned concepts had to be put into practice for decision taking.
автор: Niyas M•
Oct 29, 2017
What a great session! Full of practical advice and strategies to help you iterate fast. Prof. Andrew draws on his years of hands-on experience at top companies to put together the best practices for structuring your machine learning projects. This has been the most valuable course in this series for me so far!
автор: Nikhil K•
Jul 09, 2020
super helpful! something that's really valuable in-terms of optimally organizing the thought process i should use to approach an issue i want to solve with Deep Learning.
also, the Quizzes in this course (in-particular) were very important for me because it helped ingrain the tenets of this course in my mind.
автор: Zebin C•
May 18, 2019
In the course, I learned how to divide train set, dev set, and test set, and how to solve the problem of different distributions of train set and test set. Impressive is the transfer learning. Transfer learning is a very effective way to help me provide a completely different approach to solving new problems.
автор: Swapnil T•
Mar 31, 2020
What can be better than this, a highly qualified and passionate individual explaining what he has observed and learnt from the mistakes of other professionals , those who themselves are one of the smartest brains so that we don't make mistakes or waste our time realizing that we were hitting something wrong.
автор: Vishnu V•
Mar 08, 2020
Excellent course to understand the ML project pipeline and then to analyse the various problems that could pop up during an ML project. The tips and tricks that we obtain from this course to address those problems are really valuable and unmatched. It is truly one of its kind course from the master itself!
автор: Abhilash V•
Sep 11, 2017
This is a good course to get a feel of real projects and insights on how to go about executing them.I got some good tips to approach a deeplearning project.I don't know if this is too short of a course but I would trust Andrew Ng if he thinks this is fine to get a sense of deep learning projects.
автор: Fahad S•
Sep 06, 2018
The content is very unique and extremely insightful in how to structure a machine learning project. As a machine learning practitioner, I can personally vouch for the usefulness of the suggestions made by Andrew NG. Had I known all of this before, it would have saved me a lot of time on numerous projects.
автор: Tushar M•
Mar 17, 2018
This is the best ML course I have taken so far. A lot of ideas around train/dev/test sets, bias variance trade-off and difference of data distributions between train and dev sets snapped into place for me. I am sure it will take me a while to internalize this content but I feel like I have found the path.
автор: Edward D•
Oct 12, 2017
Brings a lot of useful insight of how to tune the model more from the data point instead of the model or algorithms. This could be super helpful in solving real world problems. Also the two case study homework helped me a lot to get a better understanding of what Andrew meant in his lecture. Great course.
автор: Smail K•
Jun 03, 2020
Another amazing course on deep learning and machine learning in general! This course gives you amazing insight into how you could strategize while running a machine learning project. I enjoyed going through the content of this course a lot, but not as much as the case studies! they seemed very realistic.
автор: Ashwin K•
Apr 29, 2020
Good practical tips for planning out your machine learning projects. Every machine learning engineer should check out this course as it will be really helpful in planning your machine learning projects and allocating time for tasks in the project. And as usual, great, lucid instruction by Andrew Sir! :)
автор: J.-F. R•
Feb 18, 2020
Great course by Prof Ng. I had taken his Machine Learning course a few years ago, so expected high standards of content and assignment preparation - I was not disappointed. Staff is very responsive and helpful in forums as well. I highly recommend it. Taken as part of the DeepLearning specialization.
автор: Ayush K•
Jan 19, 2020
Amazing course where Andrew NG shares his advice on how to work with datasets of different distributions etc. Coming from such an experienced practitioner is so helpful.
The Quizes are really helpful as they deal with case study and really make you feel like you're in the spotlight
Loved this course!!!
автор: Zoheb A•
Feb 05, 2019
The two quizzes of this course were unique. Never came upon such a quiz in any other online course. Along with the videos and supplementary pdfs, this course was quite unique and important in every aspect. I will use the approach I learnt here on my next ML projects. Thanks to Andrew Ng and the team.
автор: João F•
May 25, 2019
Very good course. Professor Ng explains very well why some strategies are better than others and how a deep learning practitioner or team can save a huge amount of working hours by following the instructions taught in this course. There are also useful, in-depth discussions in the forum. Thank you!
автор: Lien C•
Apr 04, 2019
Great practical insights of how to start a ML project, how to improve/optimize the system, how to identify and troubleshoot common problems in deep learning. The course provides comprehensive high level guidelines for anyone who uses machine learning, even without having any programming experience!
автор: Dariusz J•
Jul 19, 2019
The course has practical content. When took in the Deep Learning Specialization I noticed that some parts of the material were already known from previous courses. Indeed, in previuos courses the repeated aspectes are presented from a different angle, but probably there is an area for limiting it.
автор: Jialin Y•
Apr 22, 2018
It's like understanding deep learning: a team leader's perspective. Andrew may be the first instructor to give this kind of course. Based on his experience in building practical and large scale machine learning system in Google and Baidu, the course content is highly inspiring and worth listening.