Brilliant class - esp Week 1 regarding Bayes error etc. Was enlightening to hear from the master in the field, and how Prof Ng applied all these techniques at Baidu.

This course gives you first hand experience from Andrew Ng... It would have taken years to learn by experience what this course delivers in a few hours. Many thanks!

This course was unique as Prof Andrew Ng shares is experience and recommendations for the DL project. It is typically not covered under any other courses for ML/DL.

This is a very supporting course for the advanced machine learning process.

Hope, anyone can make a good choice to solve a real life problem with very convenient way

This course really provided me lots of insights how to apply machine learning to real world problems. Consider this to be even more important than in-depth details.

Great course, very important course as well to save time and resources. It helps you get started quickly with projects and also helps you quickly catch a direction.

This course goes beyond the basics of building neural network to the practical challenges and nuances of building and enhancing a full-scale deep learning solution.

At the beginning I thought this course might be a bit obsolete. However, I'm still taking a look at the material provided even aufter i finished the specialization.

A great summary of tactics to improve Deep Learning practices, I will continue to look through this videos to see if I continue to apply the practices in the future

I think that the nicest things were the Flight Simulator tests. They really give an ideia of the decisions you may have to make when working on real world problems.

Very insightful course for those who wants to engage in real machine learning projects. I should also mension very interesting interviews with top ML professionals.

Really great to have insights in transfert learning, data structures, and so on. It helps a lot to have better ideas on the directions to take for your ML projects.

Tells everything one needs to know, be it for an academic or industry project. The techniques and suggestions of this course can change the outcomes of any project.

This course was eye opening with practical guidelines for preparing, executing, testing, evaluating and improving machine learning models for practical applications

Very nice course with interesting insgihts in the way to conduct a ML/DL project. Thanks also for the few eastereggs which highlight how a Cat detector in useful :)

Excellent content for developing a thinking framework regarding Deep Learning projects. Perfect segue from Courses 1 and 2 into Convolutional and Segue Model Nets.

Excellent Course to understand how to structure ML projects and various knob to be used to fine tune the DL model. Greta work team and once again an amazing course

This is very super excited course i have seen. This course more help to learn machine learning strategy. And also teaching style of Anrew is amazing. Thank you...

A unique course that dives deep into the actual problems faced during a machine learning project. My favourite part was the real-world case studies in the quizzes.

An excellent course you learn the principles of how to handle a machine learning project and which addresses to point to in case different types of problems happen

A very nice course which provides overview of carrying out machine learning projects. It provides a lot of insight into the non-coding aspects of Machine learning.

Great class covering the practical elements of ML not often taught elsewhere. This might be one of the more valuable classes in the 5-class deep learning sequence.

very effective and practical training, demonstrates methodologies I can use right away and how to be more efficient than an entire team alone! who can ask for more

I would like to think you for well organized ML deep learning courses. The contents were extremely informative and incredibly useful for my real world development.

It is great course and I learned a lot. both quiz are awesome and create another level of learning for me, so many thanks from Andrew and Coursera production team