It's a good lecture for background but the programming assignment is outdated. Tensorflow 1 is very uncomfortable and the assignment would have been a lot easier and intuitive if it was Tensorflow 2, Keras or PyTorch.

Thankyou for your great guidance sir. I am diploma student where we ain't taught much maths related to ML. I found difficult to understand mathematical equations. So i request you to upload a course on that too.

Week 1 and week 2 needs more examples of python programming in the videos. The videos for week 3 were a lot more interesting. Without the python implementation examples in the videos, the course can be very dry.

Lessons are nicely explained

Assignments should be more challenging. Same as first course, this one basically make you cope-paste instructor notes and just change variable names to pass all assignments.

Enjoyed learning the concepts but it all seemed slow and tedious. It also seems like building up tensorflow throughout the weeks would be more useful then just piling it in the notebook at the end.

It was a really good course, as I have come to expect when Andrew Ng is involved. The reason I only gave it three stars was for the sole fact that the version of Tensorflow is not up to the date.

Not enough about tensorflow, not a lot of extra information on hyperparmeter tuning, exercises simple and unchallenging. I like the instructor, but I wish we could get more challenging material.

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

Tests are very easy, and the programming exercises are very straight-forward - to the point where it is really obvious what to do. I could have learned more if both were more challenging

Tensorflow was introduced in a very confusing way and most of the intuitions were not explained. Besides from lack of explanation for tensorflow, great course that complements the first

The lessons are good, the programming assignment has mistakes that have apparently been reported over a year ago and have yet to be fixed - there is no excuse for this to be the case.

The course was well, but the last graded test was use Tensorflow and this requires a lot more knowledge than the last video which was an example of another completely different kind

Lots of error on the final exercise. It seems some errors exist from previous sessions already. Hope the teaching team will fix the errors and make learning less confusing for us.

The first course was really well put together. This one not so much. I learned a lot, but it seems that adding the TensorFlow exercise at the end of week 3 was an after thought.

Sometimes Andrew doesn't emphasize concepts or topics clearly and skips over details key for ones understanding. It becomes frustrating when you're given incomplete information.

dint like that the tensor flow that we used for the lab is an old one. Specially after I did the tensorflow specialization , the old version is nothing like the newer one.

The content was solid, but some of the labs seemed a bit buggy (getting full credit even though my code didn't run). I also wish the TensorFlow tutorial used TensorFlow 2.0

The course was amazing as expected. But the quality of videos needs improvement. Also if programming part was explained in the videos then that would be great. Thank you.

Too many issues with the auto grader system. Need to improve the know errors and save the time pf users. I spent more than 3 hours total just to fix the grader bugs.

It could have been more detailed and interesting. Compared to the first course of the specialization, This course's material didn't clear all the concepts clearly.

Great course for a beginner like me. I wish however that sizing of hidden layers/units should have been addressed as it is very difficult to achieve the optimum

Docked one star because of using Tensorflow 1.4 instead of 2.0. Docked another star because I found the course content less interesting than the first course.

Some of the videos are very abstract and needs a bit of mathematical intuitions. These intuitions are best obtained by calculations rather than a lecture :)

A bit too theoretical for my taste, lacks practical homework and getting our hands dirty. Really appreciated the final week's structure and topics.

ike usual andrew ng perfect explanation simple go to essential stuff.

the minus points some troubles with notebook

big thanks for andrew ng's team.