For a busy mom of 2, 42 year old, senior executive., this course is best optimize for the pockets of time I get. Concepts are explained very clearly, and course is well paced

It couldn't be better, thank you very much and greetings from Ensenada B.C. Mexico.

Very happy and hopeful that artificial intelligence can positively affect my country.

A hug.

Really love your interviews with the prominent figures in the AI sphere - very inspiring and insightful. Particularly like the advice given by Yoshua Bengio. Keep it up!!!!

The excellent insight presented in this course gave me a way to analyze what am I missing instead of guiding me on intuition, allowing me to save a bunch of time and effort.

The things that are taught under this course are rare to find in one place. I feel this material is very helpful to build a strong base of deep learning. Thank you Andrew Ng.

Intuitions behind different concepts and techniques were exceptionally well-explained. The quizzes were well-designed whilst the assignment were extremely hands-on as always.

By learning this course, I have known many tricks and intuition to make my neural networks work better. Thanks for the nice course, and I will keep learning the rest courses.

Overall the course is great. One suggestion however is to provide fewer instructions for programming assignments. The answers are almost obvious just reading the description.

Very Well structured course. Thank you Prof. Andrew Ng for sharing knowledge, and providing valuable tips on the subject matter. I am looking forward for the complete series.

Better if edits of mistakes are made in the video itself instead of specifying pre hand Programming assignment should be made better for week 3 as it was very vaguely stated

Nicely designed - precise but covering all the concepts - course for non-domain people like me. Found this course very useful and was able to apply in my field of domain.

This course is amazing and I used to learn a lot of things from coursera. In this course, I learned the importance of hyperparameters and regularization in neural networks.

I like the drawing of the instructor in the saddle point video.TensorFlow introduction needs a bit more depth/explanation. There a major typos in codes.I enjoyed the course.

Well done. Meaningful extension of the first class with nice segue into Tensorflow. Hope we can see a bit of Caffe and PaddlePaddle as well later on in the Specialization.

This course give make you understand the concepts and intuitions of Hyperparameters. Very detailed. I recommend it to you, if you are a deep learning researcher or learner.

This course acts as a very good extension and wrapper to the first course and gives very crucial insights, without doing this course, only doing the first course is useless

Great insight into deeper concepts of deep learning. Lectures on different optimizers very helpful in understanding the basic concepts. Introduction of Tensorflow is great.

Verty good quality content, helps in understanding topics from basic which is not provided in every course, but needs more programming assignment to help us learn even more

I really like to have finally a clear structure on how to tune the hyperparameters. I had to use a bit tensorflow before but it was a bit obscure, now it is finally clearer

The programming exercises are great and the videos are just the right length. I appreciate Dr Ng deriving everything by hand on the slides, it helps with gaining intuition.

This course is a depository of tools that helps your NN be more perfect.

Batch normalization is pretty sophisticated topic. But programming assignment helps to get the gist.

This is very well designed course to understand the hyper parameter tuning in a systematic manner other to convege the model faster. Thank you Andrew and Deeplearning team.

I would recommend these series of courses in Deep Learning to any PhD student who's domain lies somewhere else. It is a great tool to apply to your specific research topic.

Another amazing course of Professor Andrew. I have deeply understood many useful techniques to tune up DL models, which I used to adjust in a non-systematic way previously.

Here was many new features for me, about DeelLearning NN training specific. Probably Tensorflow studing out of date. At least in such little volume. Better to learn Keras.