Great course with lots of important and practical topics that are often ignored grad courses. Thanks a lot, Prof. Andrew Ng and the deepleawrning.ai team.

This was a critical course for understanding deep neural networks and their nuances. I enjoyed it and will revisit it for revision. Great Work Prof Andrew

Nice.

There are some magic functions in TensorFlow which I could fully follow during the programming assignment. Will do some self exploration.

Thanks a lot

I found the content is very well organised and comprehensive. It truely is a good place to quickly build up the foundation as a Machine Learning Engineer.

great overview on tuning techniques with lots of examples, conveys the intuition behind the different concepts as well as its advantages and disadvantages

Very Good! Especially the Notebook speeds up my understanding of the knowledge, making me to code to improve my skills in deep learning. Thank you Andrew!

I have always preferred simplicity over complexity and this is what Andrew NG does the best! Hope to continue learning and applying it for my Projects. :)

The content of this course is great. Knowing how to tune the hyperparameters, regularize and optimize would help a lot when applying deep neural networks.

I was screaming inside when I watched videos of Heroes of Deep Learning. And, tada.. Yoshua Bengio is in this course. I hope someday I can be like them ;)

Material very well designed for people with a full time job and kids! Thank you Andrew Ng and team for making these technics so easy to learn on Coursera!

Great course! A lot of useful info regarding ADAM , RMSprop and Batch Norm. Very well structured and presented with a lot of graphics and math background.

This was an excellent course. The tensorflow assignment at the end is a great introduction to the framework and the best way I've seen so far to learn it.

I begin to use bias & viarance analysis to solve my problem under the course's advices. It is very useful to get better understanding about system status.

Very good course that teaches you about hyperparameter optimization along with intro to TensorFlow DNN framework. Thank you Andrew Ng Sir for this course.

Wow! As always Andrew ng is a great sir. Thank you sir for teaching so hard topic making it so easy to understand for us. Thank you Andrew sir and team.

great course with background insights of how the model is working. This course I feel is must to look for better understanding in DL from higher experts.

I have learned many of thinks this course..lectures and assignment very much useful for understanding concepts about hyperparameter tuning and Tensorflow

This course made me understand on how to gain more precise control over neural networks. As usual awesome detailed explanation by Andrew NG . Thank you

Through this lesson, I have mastered the parameter optimization problems related to deep learning, and I have mastered and used the Tensorflow framework.

Very well done. I would however expand on the batch norm topic as I don't think that I fully understand the concept behind it after watching the videos.

This course covers a lot of material in a very clear and methodical way. By the end of the course it feels like you are starting to understand the pros.

It was very interesting to know very different kind of optimization algorithms. It would be better if you give proof of derivations in an optional video.

What shapes any machine learning model is taught here! Also, one gets to learn the basics of operations as well as how to use the programming frameworks.

A brilliant insightful course! Many things which I had no clue or was wrong at were beautifully explained by Andrew. Absolutely adore the way he teaches!

Great, as always. If you want a simple but informative course which gives you the most critical knowledges in Deep Learning area, this course is for you!