Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course
After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.
By Aniruddh B•
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.
By Kishore K•
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 :)
By Yazid H•
A bit too theoretical for my taste, lacks practical homework and getting our hands dirty. Really appreciated the final week's structure and topics.
By harmouchi m•
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.
By Marco B•
There are errors on some exercises (adam of week 2) still unsolved after over 1 year (found same error reported on the forum/discussion)
By Christian K•
The lecture videos are good but the assignments are not that useful as they provide th answers within them and are somehow repetitive.
By Pavel K•
Lectures are good. Programming exercises are too easy. Too mechanical, no much thinking required, à la "fill the gaps" exercises.
By Rupamita S•
I would give five starts if not for that grade error issue. I hope it gets resolved for good. Otherwise. Great course as usual.
By Carsten B•
Interesting, but not nearly as good as the first one. Disjointed topics, unconnected exercises made this less digestable.
By Tan K L•
I think more should be done regarding the TensorFlow framework with more explanations given to what the functions did
By Moustafa A M•
Lake of practice, Lake of intimations with good examples
Less in Ternsorflow don't know how to implement and deploy it
By Mohammad E•
The course and the material are great. However, the codes in the labs have serious problems which should be solved.
By Lucas N A•
Really helpful advises. I felt it was too focus on the implementation side but I liked the intuitions parts better.
By Rishabh G•
Week 3 of the course does not have a practice problem for batch normalization. Wanted to implement it and learn.
By Ramachandran C•
I found the video lectures useful to understand the concepts, but the programming exercises are over-simplified.
By Carlos V•
Would give more stars if the final assignment used Tensorflow@ and not an outdated version that is not in use.
By Pranshu D•
More tensorflow related tutorials should have been there. The lectures turned a little boring and redundant.
By Adrian C•
So far, I think this course is weak on theory, seems rushed and should provide more in depth lecture notes.
By Vincent D W•
Encounter Error in the final assignment, cannot complete the model, but the grader gives 100/100 anyway.
By Amit C•
I wish the course mentors were more active on this course makes it a bit difficult to clear doubts
By Laura L•
It does not make you think of the problems, just fill in the gaps. First course was better.
By Mostafa A E N•
Programming assignments are too easy and the answer is already given before the question.
Tensorflow is not at all user friendly, I'm sure better alternatives would've been there.
By Aviv D•
I recommend adding a summary page at the end of each week to make sense the mathematics.
By Tanurima M•
The course is outstanding just the tensorflow library should be taught more in details.