Very comprehensive guide on how to initiate an DL project and how to improve its performance based on the nature of the problem, the data available and results.

This course ties all the information from the previous courses into one concrete understanding.

The quizzes are mostly subjective based on what is said in class.

There is plenty of room for errors building smart systems with Deep Learning, this course taught me some techniques to narrow down the possibilities. Thank You!

This course contained a lot of great practical tips for implementing Artificial Neural Networks and structuring your own machine learning and learning projects!

It has very useful tricks to improve performance in deep learning projects. Tricks that are not commonly seen in theoretical or academical contexts (if at all).

Muito bom, ótimo curso para você aprender sobre como estruturar um projeto, tudo o que você deve considerar, todos os passos que deve seguir. Recomendo demais!

This course gives the all insights that you need when you a model and working on it's efficiency. A shorter course yet can make a lot of impact on your career.

practical and really liked the quiz in the form of case study. Interviews were really interesting to get an idea about possible new frontiers of deep learning.

Great course, Great quizzes, I wish there could also be some homework or some implementation of the ideas such as Transfer Learning. Anyway, Great as always ;)

This course contains guidelines and references that may help save ML/DL practitioners heaps amount of time in trial-and-error. Definitely worth of re-visiting.

Easy to learn and informative in terms of how to structure a machine learning project and how to improve it. Provides great examples to easily grasp concepts

Well structured quizzes. Makes you think, apply sound rationale. Definitely gives a flavor of the kind of decisions you should make in real-world ML projects.

Superb introduction to structuring an ML project. Super explanation from the Guru himself (Andrew Ng) with lots of examples followed by two challenging tests.

This course is pure gold. 99% of these tricks are not taught in any university curriculum and are very helpful in the real-world application of deep learning.

Provides insights and experience that seem like they could take years to learn in a work environment, and which augment the theory and coding taught thus far.

This course is great because it discussed the strategic aspect of ML projects. All practitioners with some experiences should benefit from this course a lot.

Most important part of machine learning training is the ability to apply it to the real world problems. This course filled this much needed gap. Thanks a lot!

Gave some really good and deep insights on how to work on machine learning projects. Again loved the simple and easy-to-understand explanations of the course.

The entire courses in this specialisation have been inspiring for me and placed me in a better place heading into applying deep learning in my field of study

This course gave a really good insight into some of the real time issues that one may encounter during working on a real-life project based on deep learning.

Superb, after all the mathematics and programming that we learn in earlier courses, this course is more about practical implementation/ decisions guidelines.

excellent. your courses excited me to learn more. and Sir Andrew NG are my role model motivation to learn learn and learn machine learning. Bless you always.

An Excellent way to manage your machine learning projects .

Highly recommended if you in a situation where you stuck what to do next to increase your accuracy

very useful and practical lessons from Andrew based on his years' experiences! I feel like I have learned several years' worth of knowledge from this course.

The content was well structured and concepts were explained in simple terms. Highly recommended for professionals who would want to explore deep learning /AI