This course, as part of Deep Learning specialization, is simply great.

Great practice to get hands on programming skills in machine learning!

Very well organized and delivered in a fantastic way by Professor Ng !

great course! super practical. you learn how to actually work with DNN

Prof Ng is awesome! Teaching you the details of how NN work, and why.

Really Helpful for strengthening the basics of hyper-parameter tuning.

Great explanation on Hyperparameters, Regularization and Optimization.

Excellent. May just as well be the benchmark for all Coursera courses.

Excellent course, providing a great start in practicing deep learning.

Well organized and clearly explained. I finally understand tensorflow.

Several important techniques about tuning hyper-parameters were learnt

Andrew Ng does a GREAT job of breaking things down and making it easy.

Very very useful and efficient course for starting actual DL projects.

Fantastic coverage of hyperparameter tuning in a deep learning context

Practical with lots of helpful tips. Very nice intuitive explanations.

It would be better to introduce other frameworks as optional material.

This course gets in depth for deep learning based on the first course.

Awesome course... Please continue making courses.. Thank you so much..

Very interesting stuff indeed. Mostly Regularization and Optimization.

Clear thought, detailed instructions and practical homeworks as usual.

Brilliant course. Helps get you running in this really exciting field.

Great overview on how to improve the neural networks learning process.

Its a great experience to make an entry with deep learning frameworks.

Very useful course to understand core hyperparameter tuning concepts.

Extremely necessary course for deep learning students and researchers