This is the most challenge and useful chapter in this who specialization course.

Very critical knowledge required to manage DL projects well, thanks a lot Andrew

New interesting views on practical issues in artificial neural networks projects

Excellent course as other courses in this specialisation. I learned quite alot.

Great course tp handle various situations while doing machine learning projects

I had a great learning experience and especially I like the case study section.

This is knowledge that you would not get at a regular class of ML at university

Every ML enthusiast should take this course. Thanks to Andrew Sir and Coursera.

Excellent Course. Gave me a good understanding of the structure of ML projects.

This course was really helpful on how to structure my machine learning projects

Very good insights which will help if you want to lead a ML/AI project/product.

Train/Dev/Test의 결과를 어떤식으로 해석해야하고, 프로젝트를 어떤 방향으로 이끌어 나가야할지 정말 자세히 알 수 있었습니다. 최고~

Very interesting course for people who already work with machine/deep learning.

Really useful tips not seen elsewhere. The explanations were simple and clear.

Great Course! Probably should not be a mandatory course in this specialisation.

Very useful techniques you can hardly ever find in a real university classroom.

Excellent course, a lot of great practical tips for organizing the ML projects.

Great practical course in how to structure and lay out machine learning models.

Very useful practical knowledge, very hands-on. Not your average theory course!

This was surprisingly harder than the more math-focused courses in this series.

This course is helpful to me, and I can use what I learn to improve my research

Amazing high level overview of neural network alternate implementation options.

Very good practical insights to help with setting up machine learning projects.

Wonderful Courses that will prove to be useful in my company in the near future

Very practical and great advice on how to run DL projects in real life. Thanks!