Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI
About the Course
Top reviews
AM
Oct 8, 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
XG
Oct 30, 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.
6651 - 6675 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By Yen L B
•Aug 31, 2018
Good explanations. But tutorials can be improved to demonstrate the various tuning effects
By Surya J
•Apr 22, 2019
Great course to build intuition about tuning NN. Solid Foundation in very short duration.
By Kritika A
•Mar 25, 2019
There was a lot of hand holding in programming assignments. It needs to be more rigorous.
By Vasilis S
•Sep 26, 2018
Very informative course. The assignments are too trivial. Could've been more challenging.
By David D
•Oct 7, 2017
Last programming assignments had some errors in them that could've easily been corrected.
By Pradeep S
•Aug 6, 2023
Great course to get the basics of neural networks and deep learning as solid foundation.
By Bhargav R
•May 21, 2020
Great content. Filled with rich techniques to improve models, hyperparameter tuning etc.
By Václav R
•Feb 14, 2019
Could have focused a bit more on the tensorflow. Other than that - Great course, thanks!
By Rajiv C
•Aug 25, 2017
It was fun to get to know other optimization techniques and how to speed up the network.
By Prajwal M H (
•Apr 21, 2020
The difficulty of the course is medium. More time should be spent by learners for this
By Andrew W
•Jul 29, 2019
Felt fast faced. But a good introduction to neural network hyperparameter optimization.
By Gaurav B
•Nov 13, 2018
Course was really good, but I feel in tenserflow regularization should also be covered.
By Ahmed A
•Oct 28, 2018
The course was very informative but the tensorflow notebook was buggy and needs fixing.
By Arjan G
•Dec 7, 2017
Good course, but still has some minor issues in the assignments that needs to be fixed.
By Nils-Jörn
•Dec 3, 2020
Don't like the Jupyter environment - i loved the Octave used in the basic ML Course...
By Oleksandr T
•Jul 28, 2019
Last code assignment is a mess. Looks like organizers have no intention to fix errors.
By Cindy Q
•Apr 1, 2018
Week 3 feels a little rushed. The tensorflow material can be explained more in detail.
By Nicola P
•Nov 11, 2017
Lessons are very clear and insightful. I would have expected more complex assignments.
By sree v
•Sep 5, 2017
TensorFlow assignment is not good. There are many issues in submitting the assignment.
By Mohammad M H
•Jul 31, 2020
most of the topics and assignments are great! but few parts of them are a bit boring!
By Mayur S
•May 9, 2020
Some more programming exercise with an combination of all the weeks would have helped
By Simona T
•Mar 9, 2020
The assignements are very instructive and useful, but they could be more challenging.
By Gaojing W
•Aug 28, 2017
Content is comprehensive but lack of an detailed assignment of tuning hyperparameter.
By Vincent R
•Jun 11, 2020
Great overview. The only critique is that the practice problems are a bit spoon-fed.
By Utpal D
•May 9, 2020
learn a lot about how to fine tune hyperparameter & other regularization techniques.