Excellent course.

Shame about the total lack of support available for questions about problems I encountered. When I am paying for something, I expect some support.

Really well structured course,the instructor explains every point to the most accuracy and helps us in gaining an very detailed understanding of all the concepts.

Course content is awesome, but I feel should have chosen PyTorch instead of TensorFlow, which seems easy and better than TensorFlow.

except that course is awesome.

Great introduction to the tuning options for Neural Networks. Would have loved more visual representations of how different options affects learning and accuracy.

Some oversights in programming assignments and the week by week content is not very balanced in terms of effort/time spent. Otherwise, I would have given 5 stars.

Introduction to tensorflow was kept a bit too short for my taste and the coding part was mainly copy pasting the instruction text from above, making it too easy.

Best course explains the whole concept in detail and taught by one of the most excellent ML teachers Andrew Ng must to understand the working of Neural Networks

Thanks for providing the coursera for me to learn more about DeepLearning!But the web sometimes cannot open the jupyter, the net work is so unstable to log in .

Great course - Some small typos in the programming exercises and the Tensor video felt a bit rushed (needs 1 more video or lengthier explanations would suffice)

A big step forward to understanding how to tune neural network performance. Didn't learn all of this even through a couple of years of trial and error on my own

This is a very great course about the techniques of optimizing neural networks, for example, I have learned different methods to speed up the training process.

- Lecture video was very educative and Andrew was a instructor

- I find the the coding assignment too easy - maybe because of the filling of the blank styling.

The Tensor flow assignment is not clear why we don't use softwax activation at the last layer and why we use a binary cross entropy cos instead of categorical

I suffered too much to handle Tensorflow since it's not well explained for beginners throughout the programming assignment. The rest of the course is awesome.

good course, but unfortunately different with network and deeplearning course, that has fast response mentor. But all in all the course is full with knowledge

Excellent material! There was one error in the last assignment that cost me a lot of time. Please fix that. Otherwise, very useful programming assignments.

Very Good Course to understand Step by Step

Hyperparameter tuning, Regularization and Optimization to improve Deep Neuaral Networks & Practical Assignments !

Great course and great teacher. The skills in this course is very practical. But I think the assignment should use tensorflow version 2 instead of version 1

Learned a lot about tuning and different frameworks. Definitely math-intensive and more of a brief overview than a deep dive of these techniques and tools.

improving Deep Neural networks :Hyperparameter tuning,Regularization and optimization course was amazing! thank you so much coursera and Andrew Ng sir! :))

Similar focus should be given on programming assignments with a extensive discussion forums. Encourage learners to find functions themselves using google.

Please offer a lecture note in detail instead of just ppt shows for each class video, not to mention that some are missing which is inconvenient to recap.

Great material and lectures. Would've preferred slightly more comprehensive exercises though, and more on tensorflow(any deep learning framework) as well

The tensorflow programming assignment was a little too easy. It turned out to be more or less of a copy paste work without having to look at the TF docs.

Great intro to TensorFlow Framework. But the last programming assignment was still giving low percentage accuracy without any notable fault in the code.