Good course. Detailed explanation of Hyperparameter tuning, Regularization meth

I learn a lot from this course. It helps me improve my skills in deep learning.

Covers a wide range of practical tips on building and improving neural network.

Gained insight into many things like Batch Normalization and L2 regularization!

It teaches you about the practical aspects of developing deep neural networks.

I wish the PDFs of the slides were available like the Machine Learning Course.

learned a lot about how to tune hyper-parameter,optimization of neural network

Very informative course ! Instructors did full justification with the course.

This is really awesome, I have learned a lot. Very nice programming exercieses

everything became clear at the assignment part . Thanks for this course Andrew

Very informative course, building on the foundations of the first course. 5/5!

This was an excellent course in helping me design neural networks objectively.

It was a great course and helped me a lot to get started with Neural Networks.

Another excellent course! The material is incredibly rewarding. Great teacher!

A very good training for Regularization and how to deal with Bias and Variance

Programming assignments were a little too easy, but the material is fantastic.

Teaches some basic concepts every ML programmer should know in a practical way

Great job describing the solutions and then presenting how the solutions work!

Thank you for your lectures. It's very very interesting and easy to understand

Great course on basic NN material, with useful implementation principles/tips.

At the top. There is no rating that can justify the content. Thank you Mr. NG.

Content is organized brilliantly and teaching methodology instills confidence

This great course will give you strategies you may spent several year to know.

In some cases practical insights are more important than the theoretical ones.

This was very informative course, please keep the content reachable afterwards