A great course to learn how to make our deep learning models better. The flow of the course is superb. The only thing I felt can be improved was the level of assignments.

Good coverage of practical issues in hyper-parameter tuning, regularization, and optimization of algorithms. Would be better if it covers TensorFlow 2.0 (instead of 1.0).

couple of problems in notebook files (especially in the last homework) wasted my time, but it was a great course and to understand the math behind and learning tensorflow

Some of the Topics like tensorflow should be have some more explaination but even though the course is excellent and as far as for Andrew Ng ,he is best among the bests.

Learning a lot. But full of boiler plate codes. It would be great if students were challenged with programming. Writing a formula even in code is easy for most students.

The content is good but I didn't feel comfortable with tensorflow assignment. That could be improved by stressing more on tensorflow syntax and explaining it in detail.

I would like to have a brief introduction to Tensor Flow or a simple beginners tutorial (at least to have it clearer the usage of variables, constants and placeholders)

As always, the explanations are very clear. I would've just preferred if the newer versions of TensorFlow with the eager execution was included in the course syllabus.

Was tough understanding the concept, but google and maintaining notes really helps this class. All the concepts required understanding the concept exist in the course.

Gives good information on how to tune your parameters so that the neural network gives awesome results. Really important course for beginners as well as intermediates.

This is a very necessary and informative course after knowing the basics of neural networks.

As this course covers all details to speed up the neural network learning.

Enjoyed the course information and assignments in the first two weeks, but the last week's assignment needs improvement as it is not well correlated with the videos.

Very well articulated course and brings out the concepts very well. I wish there was a bit of more guidance to sudden introduction of tensor flow, especially syntax.

It was a very great course , I've learned a lot things from it, But the only problem is that in the Last assignment we were using Tensorflow1 instead of Tensorflow2

Great course! Very comprehensive and detailed, loved the examples and the assignments. Some concepts cold have been explained a bit clearly but overall pretty good.

These course really are 5 star learning but in terrible terrible need of video editing. We see outtakes, we see all three takes Andrew took to try to say something.

Some issues saving my Python code. I'd complete and submit or complete in part and return and my work would not save or I'd get marked incorrect in the assignments.

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 .