Oct 31, 2017
Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.
Dec 06, 2019
I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.\n\nthe only thing i didn't have completely clear is the barch norm, it is so confuse
교육 기관: Sidharth W•
Oct 19, 2018
Would have been 5 star but I found typos in the assignments and exercises -which have still not been corrected which is quite surprising
교육 기관: samarth•
Sep 12, 2017
Was a great course. Learnt conceptually and implemented Momentum,ADAM & rmsprop. Wish there were more exercises to explore TensorFlow .
교육 기관: Benjamin J•
Oct 30, 2017
I would have liked more programming exercises related to regularization and hyperparameter tuning, but TensorFlow was well introduced.
교육 기관: Ahmed N•
Mar 24, 2018
One of my best courses i have ever participated in, i gained a lot of knowledge and knew the underlying mathematics of every model.
교육 기관: Mathieu J•
Feb 24, 2018
Second step of the specialization,
a bit less rewarding than the fist course as more fine tuning and less overview of deep learning
교육 기관: Muiz V•
Oct 18, 2017
Programming assignments could have been more challenging. Otherwise, the course instructor is pretty awesome!! Thank you Andrew Ng.
교육 기관: Swann C•
Oct 06, 2017
Good material and definitely essential in order to gain a lot of time aiming at the right direction navigating all these parameters
교육 기관: aminedirhoussi•
Nov 22, 2019
Very good course. I would have liked a little longer introduction to the tensorflow architecture and less help on the assignements
교육 기관: Stanley C D•
Sep 05, 2018
A good introduction to gradient descent algorithms and hyperparameter tuning with a little TensorFlow thrown in for good measure!
교육 기관: Jorge•
Sep 23, 2017
Good course, Hyperparameter tuning, Regularization and Optimization are well explained, and the Tensor Flow lab is very useful too
교육 기관: Xin X•
Sep 19, 2017
Tips are very useful! Have some typos/errors in assignments, more coding work can help understanding. Thanks for sharing, Andrew!
교육 기관: JUI-CHIEH, W•
Aug 26, 2017
Many practical tricks such as tuning hyper parameters and the use of major optimization techniques such as batchnorm and dropout.
교육 기관: Victor-Hugo J•
Aug 04, 2018
Very interesting course. But a bit fast I would say. Sometimes I didn't feel the programming assignments were that challenging.
교육 기관: Uddhav D•
May 28, 2019
Again awesome explaining by Andrew, although I feel Batch Normalization should be a bit stressed upon and explained in detail.
교육 기관: Tarun S•
Sep 19, 2017
Well detailed course..
Tensorflow is very basic and it could have been improved if one can visualize graphs too in tensorboard
교육 기관: Steve A•
Nov 07, 2017
Great course!! The only improvements I'd suggest is more difficult assignments (less guided) and more written documentation.
교육 기관: Omar S•
Oct 29, 2017
Provides a good code skeleton to build a neural network, but would unlikely have one poised to do improvements on their own.
교육 기관: Om S P•
Jul 19, 2019
Some assignments, even though I get the same result as the output given, it get marked as wrong... Please try to rectify it
교육 기관: Victor P•
Oct 26, 2017
Very good course from the excellent Andrew Ng.
Some typos and some glitches in the video, hopefully it will improve in time.
교육 기관: Alex N•
Sep 12, 2017
Only drawback is that some of the safe checks are wrong in the programming assignments, even with the right seeds.
교육 기관: Khalid A•
Sep 15, 2019
It is definitely very informative, but I wish the lectures would be more in depth in regards to the derivation and proofs.
교육 기관: Ruud K•
Feb 06, 2019
Really love the course, the quizes and programming assignments. But not 5 stars cause the audio quality is extremely poor.
교육 기관: Arkosnato N•
Nov 28, 2017
course content was very good, but this course should be longer. there was a lot of material covered in a very short time.
교육 기관: Michael B•
Mar 17, 2018
More pragmatic approach with theorems would be more appealing....or maybe it is me as i'd prefer Java (DL4J)...not sure
교육 기관: Viviana M•
Oct 29, 2017
I really enjoyed the classes, in the training I would've liked to try and improve the model with all the tools learned