A very interesting course for both material and assignments. It teaches you the details beyond deep learning and the various way to hyperparameter tuning.

Again loved the course structure, Andrew NG - you are a rock star. Take a bow, thanks a lot.

I would love to have one more extra week on tensorflow/keras.

A very good course focussing on very very important aspects to make Neural Networks perform well.All concepts are been discussed in an easy to grasp way.

Learned a lot of interesting stuff to improve the speed and efficiency of the model. Moreover, the introduction to the TensorFlow framework was intuitive.

My interest in the subject is increasing. Just experienced Tensor-flow for the first time. Excited to finish the remaining courses in this specialization.

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.