Tensorflow Version used in last assignment is old and syntax has been changed in tensorflow 2.0, it should be updated. But Overall very knowledgeable and insightful course.

The course help me to understand more clearly the optimizers as well as the process of

pyperparameter tuning. I think the assignments should be a little bit more challenging.

An excellent course, Andrew Ng is an interesting and knowledgable instructor. Better course summary materials are all that is missing, as they are mostly copies of slides.

Very nice course, but the exercises should be more complicated and longer.

How come the last week exercise does not deal with any regularization or hyperparameter training?

Kind of short, well explained, good assignments. The tensorflow video is for version 1 of tensorflow, so I was unable to follow along with it. Other than that, good course.

the course is focused on the main elements - it's a lot of material to work through - it would also be good to elaborate a project (could be an own one) during the course

This course made a lot more sense to me, compared to the first one. Still a bit excessive on calculus in my opinion, but I guess calculus makes more sense for other people.

It's comprehensive, even covering tensorflow. More details on tensorflow are suggested. Also the theory are more abstract and not quite well explained as previous courses.

Week 2 was very informative, Prof Andrew discusses the concepts behind gradient descent and momentum in detail. The programming exercises could have been more challenging.

The videos were great! Personally I was lacking some additional reading material and more quizzes. Other than that, the course demystified different optimization technics.

Very informative and explained very well. This course increased my enthusiasm and interest in ML further more. Looking forward to learn more about DL in the next courses.

A very good course. The current course content related to Tensorflow syntax detail (week 3) can be improved. Future coursework should probably use the latest framework/s.

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.