This course is excellent for its content. A few of the quiz questions are difficult to parse, which I have also seen in the other courses I have done on deep learning by Prof Ng et al.

Loved the flight simulator styled quizzes.. learnt a lot on how we can take a systematic approach towards building a right model and how to deal with challenges with data availability.

It is probably the best course out of first 3. The approach to week's tests really forces you to think hard. It does look like a very good way to transfer the experience! Thanks a lot.

I appreciated the high level guidance that this course offered. It is so easy for me to get bogged down the the details of a technical project and lose sight of the overarching goals.

The course was nice, and though I initially felt it a bit over-extended with just examples, I find that it helps to gain a deeper insight into structuring the machine learning models.

Interesting learning different metrics which can be used to identify problems in Machine Learning Projects in order to avoid wasting large amounts of time and energy on wrong metrics.

A very useful and intuitive course for understanding how to improve a model for different projects and situations. Once again, many thanks to Prof. Andrew Ng for building this course.

Found this course very relevant to me as a newbie. I think following the guidelines mentioned in the course will avoid lot of common mistakes made by many freshers in the field of DL.

Professor Andrew Ng explains very clearfull in detail about challenges regarding deep learning products development and how to face them using systematic approach. Strongly recommend!

This is exactly why I took this course: to hear about things that you do not read very often, about machine learning practical problems and how you can solve them. Really interesting!

A very practical and unique course exploring various real life aspects of machine learning applications.A must for someone who aspires to solve real life problems using ML algorithms.

This course gave a nice overview on systematically tackling machine learning tasks and problems. The "flight simulator" quizzes were very helpful in understanding the course material.

This course is nicely structured, and contained many important information

The teacher delivered the course in a very simple yet highly informative and understandable way

Many thanks

Highly helpful course. The videos of this course improve the insight of machine learning / deep learning tasks. I will refer to the theories that I learned in this course every time.

This is phenomenal. I was working as an undergraduate student researcher in two different projects right now and what was discussed here really gave me the eyes that I really needed.

this course helps me how to create a plane of the machine learning project for my team and also individual project like the use of transfer learning and multi-classification problem.

Great way to understand step by step all important aspects of creating a machine learning project. Finding out what problems can be faced while creating a model and ways to fix them.

This course was filled with practical advice to quickly build, iterate on, and improve ML models. It's more directly relevant to real-world ML work than any other course I've taken.

Best ever course in deep learning. By this far, you should have strong foundations about working deep learning, and this course helps you to master the ML strategy for your projects.

Short and crisp course. It was very informative to learn how to do error analysis on practical machine learning projects. I also really enjoyed the unique assignments in the course.

Great course. All errors explained nicely.Covered mismatched data distribution very well. Also transfer learning, multiple task learning were explained nicely. Overall great course.

Review of techniques and strategies. Very interesting. As there is no programming assingment, I would advice to add some Keras-TF lessons to be ready to tackle the following courses

Well structured course. Worth spending the time watching all the videos to get a full picture of what are the key things that really matter when planning and launching the projects.

I loved the idea with the case studies to flight simulators. This is a very useful way to practice working with machine learning problems in short time and in a classroom situation.