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.

A very informative and interesting course. It describes the project management aspect of an ML project which is rarely taught or spoken about. Thanks Andrew for this amazing course.

The course is well designed. The hints Andrew gives are really useful and interesting. I'm taking the whole specialization and it seems to be really useful. Thank you so much guys!

The courses keep getting more interesting! There is a lot of subtly to deep learning as you go towards a management level apparently. Many different problems with unique solutions.

An excellent course the reason for me telling this, actually I thought it wasn't so important course in this deep learning specialization. It turned out as one of the important one