Need some improvement! I think the course is a little bit rush, especially on the 3rd week. I really like the 'test' assignments, which helps me to clear out a lot of important concepts. But the programming assignments sometimes bothers me not in the way of programming, but in the way of

Great videos but wish there were more per-lesson exercises that were there in Course#1 for this track. Also, the transition to TensorFlow was quite abrupt as the key concepts that TF uses are completely new and don't easily borrow from the much cleaner Numpy concepts

Thank you! :)

TensorFlow needs more time dedicated to it. I didn't completely understand the concepts behind this framework.

great course

Good course, but the standard is not up to par compared to Course 1 and the ML course. The Week 3 Tensorflow assignment has a few mistakes and some of the code seems redundant (probably because the code was updated and the old ones were not removed), which makes it a bit hard to follow. Also the code could do better with the comments for elaboration, but nothing you can't figure out yourself using online resources. Regard

There were some typos throughout the course.

good

Quite not challenging in the programming assignments

I would have liked to have more practice exercises about tunning.

Very informative course. The assignments are too trivial. Could've been more challenging.

As always Andrew Ng's clearly explains all the concepts along with practical programs. I would strongly recommend doing this course for a good solid understanding of neural networks.

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

Definitely improved my understanding on the tuning

Some of the math may be hard to grasp, but the course gives a lot of useful information overall.

感觉作业设计的很好，可以不需要太好的编程能力就能完成，还能加深多算法的理解

Really good insight into the inner workings of a neural network.

The graded functions could be a bit more free form, forcing you to think more about it. I sometimes feel that I'm more solving the "template", than I am thinking about neural nets.

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

its great foundational course but i feel with frameworks available the math behind it was little boring.Andrew NG is pretty good with explaining it well but sometimes felt it was too trivial

awful sound

good

Exercises are too easy, and lectures are kind of boring. The Jupyter / iPython system does not run smoothly. I ended up downloading everything on my local computer, completing the assignment there, and then pasting the code into the coursera notebook. That makes the assignments take 50% longer than necessary.

Content was good.

But the system that checks our submitted our code checks wrongly even when I wrote it correctly.

In week 2 assignment, when I submitted the code, it gave many functions as wrong coded.

I resubmitted the code after few changes, for instance a+= 2 changes to a = a+2 and string text like 'W' changes to "W". It worked fine and gave 100 points.

In short, what I observed is that the code checking system is taking a+=2 and a=a+2 as differently, also 'W' and "W" are considered different, but they are not in actual output.

I wish the course mentors were more active on this course makes it a bit difficult to clear doubts