Oct 09, 2019
I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation
Dec 24, 2017
Exceptional Course, the Hyper parameters explanations are excellent every tip and advice provided help me so much to build better models, I also really liked the introduction of Tensor Flow\n\nThanks.
교육 기관: Kousik R
•Jun 12, 2019
There are so many grader problems please fix it
교육 기관: Siddharth K
•Jul 15, 2019
Need Information about other parameters like #of iterations, how to choose number of hidden layers?, number of neurons in hidden layers, inclusion of few other strategies to choose neural network model will be helpful. If they are covered in next courses, then please ignore.
Thanks
교육 기관: Yating G
•Jul 14, 2019
The courses are vey well organized and easy to understand.
교육 기관: daniele r
•Jul 15, 2019
One of the best and most technical course in this Specialization: I enjoyed learning a lot on optimization algorithms. Really good practical hints on tuning and on bias variance analysis, that are very difficult to find in textbooks
교육 기관: Ranjan D
•Jul 17, 2019
Great explanation on tuning different hyper parameters and how they can effect the model's performance.
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: Fredrik C
•Jul 18, 2019
Great, but could be better. Fix the typos. Add summarized video notes. Etc.
교육 기관: Pascal A S
•Jul 22, 2019
A bit too technical for my taste. But useful examples to work through.
교육 기관: Екатерина Р
•Jul 24, 2019
The course was very helpful as now I understand optimization techniques and all the parameters of neural networks. Unfortunately, the course has not answered my question how to tune the whole bunch of hyperparameters from the scratch, what is the correct order and logic of the full ANN tuning, not just one parameter.
교육 기관: Nicolas B
•Jul 24, 2019
This is a very interresting course that go past basic deep neural network knowledge. I learned a lot. Still I would have like a bit more programming exercices to have more part of the theoretical course covered (batch norm, hyper parameters tunning).
교육 기관: LEO L
•Jul 31, 2019
All is good except the submission part, sometime return submission failure without specifying a reason
교육 기관: Oleksandr T
•Jul 29, 2019
Last code assignment is a mess. Looks like organizers have no intention to fix errors.
교육 기관: Andrew W
•Jul 30, 2019
Felt fast faced. But a good introduction to neural network hyperparameter optimization.
교육 기관: Harsh B K
•Jul 30, 2019
Good Insights of hyper parameters with other techniques to improve learning rate.
교육 기관: Aayush A
•Aug 03, 2019
The Jupyter notebooks had a lot of mistakes which wasted a lot of my time otherwise the course content was good
교육 기관: Shubham K J
•Aug 08, 2019
Grader is not performing well even though my outputs are matching.
교육 기관: Dr. H H W
•Aug 08, 2019
Interesting material but a bit complex to follow all the equation derivation. Need to repeatedly watching the video to understand the content. After learning this the hyper parameter setting in the ML setup is clearer to me.
교육 기관: Aditya S
•Aug 09, 2019
good
교육 기관: Gianluca S
•Aug 10, 2019
No course material available
교육 기관: Laurence G
•Aug 11, 2019
Decent intro to tuning neural networks. I felt the parts on normalization and regularization could have gone into more detail, but perhaps the math was deemed too complicated. Labs are ok, but still a bit buggy despite errors being reported in the forums a while ago.
교육 기관: Aymen S
•Aug 13, 2019
Cours intéressant merci beaucoup Mr Andrew Ng
교육 기관: Armaan
•Aug 15, 2019
Extremely well designed course, the key reason for 4 stars is Andrew Ng's amazing leactures. The programming assignment though do quite a bit of handholding which can be reduced.
Amazing experience overall!
교육 기관: Asad A
•Aug 17, 2019
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
교육 기관: Mukesh K
•Aug 19, 2019
The content of the Course is very precise and assignment truly reflect what is been taught in the lectures. Explanation and presentation of algorithms are what I like the most. Assignment were very engaging and interesting.
교육 기관: Gerrit V
•Aug 19, 2019
Sometimes quit slow