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.
2026 - 2050 of 7,272 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By David N
•Mar 17, 2020
I really appreciate the discussion of best practices when it comes to hyperparameter tuning, etc.
By Maxim V
•Sep 29, 2019
A crucial piece of knowledge about NN optimization techniques and a brief intro to Tensorflow v1.
By Mathieu F
•Aug 31, 2019
Finally a clear explanation and methodology about the dark magic of Deep Learning Hyperparameters
By Paul F G
•Aug 9, 2019
A very good follow on to the first, introductory course. More of a "deeper dive" and more detail.
By Wesley H
•Jul 23, 2019
Really great course. It naturally builds on the previous course. Nice introduction to Tensorflow.
By Liam A
•Jun 16, 2019
Great at introducing key hyper-parameters, their importance, and the appropriate way to use them.
By Roronoa Z
•Jun 14, 2019
The problems are getting more and more interesting :d
On to the next course in the specialization!
By Korobov P
•Apr 28, 2019
Excellent! I've learnt about useful optimizations and some delicate things about neural networks.
By Ravikant C
•Mar 28, 2019
I really enjoyed doing this assignment. A perfect combination of hands-on and concept discussion.
By Kirk B
•Jan 17, 2019
Andrew Ng is hands down the best teacher in this space. Excellent lectures and a well run course.
By Akhil K
•Sep 6, 2018
Course content is really good.
A more thorough introduction to tensorflow would have been helpful.
By Andrei V
•Aug 14, 2018
Great as always! Really informative and the subjects are presented in an "easy to digest" format.
By Arthur B
•Jul 19, 2018
Very informative, I liked the explanations as to how to approach fine-tuning your neural networks
By Mulong X
•Jun 21, 2018
It would be better if there is more code could be edited my ourselves rather than just few lines.
By Rinaldo M
•Jun 20, 2018
Good knowledge for improving our model and nice introduction to other framework in deep learning.
By Kishan
•Jun 18, 2018
Rightly structured and very well organized just after a beginning introduction to Neural Networks
By DrDee
•Apr 23, 2018
Prof. Andrew Ng is fantastic at explaining complex ideas in a systematic, easy to understand way.
By Roxana N V
•Sep 30, 2017
A great course to a deep understanding of hyperparameter tuning, regularization and optimization.
By Jakeer H
•Jul 4, 2022
I have enjjoyed this course while writing the code using Tensors. Thanks to all the instroctors.
By Tarandeep S
•Jan 1, 2022
Intution are really helpful in understanding the topic and the way Andrew explains is awesome!!!
By DEEPAK P
•Oct 19, 2021
I find this course a fun learning as i learned about hyperparameter tunning and tensorflow also.
By Amin
•Jul 15, 2020
This specialization was one of my best friends during the pandemic, thank you so much Andrew NG.
By Manas P
•May 7, 2020
Great explanation from a Great Person!
I will keep revising the content to get a better insight.
By Yunya G
•Sep 3, 2019
This course is very useful for me. It helps me understand better some parts in the first course.
By Prasanth T
•Jul 22, 2019
Very useful and programming assignments came in handy to revise and strengthen the understanding