Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI
About the Course
Top reviews
AS
Apr 18, 2020
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
HD
Dec 5, 2019
I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.
the only thing i didn't have completely clear is the barch norm, it is so confuse
6651 - 6675 of 7,249 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
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.
By Deleted A
•Apr 17, 2020
Missing the notes in between the videos like in the Intro to Machine Learning course
By yesid a c m
•Oct 27, 2019
hay funciones de tensorflow que ser[ia adecuado que las explicaran en los notebooks.
By Asutosh S
•Jun 12, 2018
Assignments are too easy. They wouldn't even require one to watch the course videos.