Great course. The into notebook to tensorflow is little less intuitive, but in total I enjoyed also the second part of this series! Thanks a lot for all the effort!

Very useful module. The week 3 assignment should incorporate some batch norm exercises though, as the deep learning framework material is easy to pick up elsewhere.

Well structured and easy to follow. Provides a thorough understanding of the different optimizations we use in training NNets. Also good introduction to tensorflow.

A very good course to know more about Optimization techniques and Hyper parameter tuning. It also introduces you to TensorFlow Framework which makes your life easy.

This specialization is for the beginners and the assignments are so helpful and will not have any problem in solving them because of the great structured approach!

Conceretized my knowledge of Tuning and Regularization with low level tensorflow to understand the computational graph that represents the bolts and nuts of keras.

It is a great course. The concepts for hyperparameter optimization are explained in best and intuitive way. Also math is really made easy for better understanding.

Excellent. Tensorflow is a little tricky and there was a typo in the comments that caused some problems getting the answers to match but overall very good course.

A quick but useful overview on how to tune a deep learning model to combat various problems, mostly variance. A bonus is a short tutorial at the end on TensorFlow.

Great course. Homework is a bit too easy, though.

Wish we have some more classes covering topics like how to handle huge data sets (like using GPU computing, etc.)

The course is amazing. Prof. Andrew explains the topic in a way which is very easy to understand even for beginners. I am very happy after completing this course.

I've done courses with similar content but no other teacher could explain it like Andre Ng. It is really a course you must do if you've completed the intro course

A solid course on parameter tuning while developing machine learning models. Helped me lot in improving my understanding of the inner workings of hyperparameters.

I think tuning of hyper parameters is the very important thing in the model building process. This course will let you know about all the hyper parameters tuning.

Great course. Well structured. Necessary insights provided alog with an introduction to the available deep learning frameworks. Professor Andrew is truly awesome.

Great course; nobody provides intuition like Professor Ng, and the homework is easy but also provide a good practice set of references we can always come back to.

really impressive course. I built my first Neural Network with tensorflow. This feeling is amazing. I really learn a lot from this course! Thank you professor Ng!

Perfect illustration as stated in the Title. You also get to learn and play with Tensorflow, which is one of the best programming frameworks to shorten the codes.

Very helpful course! enjoyed the programming assignments! While I enjoyed the introduction to tensor flow in the end, I wish we had explored the topic a bit more!

Really a wonderful course! It's useful to what I am doing now and really important to my future. Coding with python and tensorflow is really important and needed.

Wonderful course. Great teaching by Andrew as always! Can be recommended to anyone interested in learning optimization techniques and hyperparameter tuning in ML.

There are a lot of things you don't realize you need to be doing when you first get started, and this course helps you to understand when and how to tweak things.

Andrew Ng is great as always, but I wish you would expand upon your introduction to Tensorflow by adding another section that provides more in-depth information.

A Course with proper depth and must do for all deep learning enthusiasts. This course also provides a proper introduction and hands-on experience with TensorFlow

The course is perfect for those who love learning the intuitions and inner working of Neural Network, a bit difficult for non - mathematical background learners.