Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI
About the Course
Top reviews
AS
Apr 19, 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
AM
Oct 9, 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
6726 - 6750 of 7,270 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By Marco v d L
•Nov 4, 2017
Video's: 5 star
Practice: 3 star (it will test your copy and past skills mostly)
By Han T L
•Mar 21, 2021
A bit less structured than the 1st course, but still excellent! Learned a lot!
By Biral K P
•Aug 17, 2020
A great course overall. Implementation in TensorFlow 2.0 would have been nice.
By Andrew P
•Oct 29, 2019
Wonderful course, would have liked another assignment working with TensorFlow.
By bayu a n
•May 4, 2019
Need more in-depth about parameter tuning, but it's a very good course overall
By Mohit k
•Jun 22, 2018
Thanks for such amazing course. Add little bit more on Tensorflow fundamentals
By Lucas O S
•Dec 11, 2017
Great course, still some issues in quizzes and autograder, and lack of support
By Vladislav Z
•Oct 8, 2017
Course it good, but IMHO to simple.
BTW I do not have real experience with NN.
By Haim K
•May 30, 2020
It would be beneficial to give more details on how tensorflow optimizers work
By Ankur D W
•May 9, 2020
This is an important course to go through for improving deep neural networks.
By Luis d l O
•Jan 15, 2020
Very nice one. Focus on practical aspects that are quite necessary to use NNs
By Hossein M A
•Sep 9, 2019
too complicated, many lessens in couple of short videos.
poor video transcript
By Arturo V
•May 29, 2019
Se podrÃa mejorar mucho la redacción del libro del ejercicio de programación.
By Alexander
•Nov 21, 2018
more python / tensorflow, as well as data exploration and cleaning is welcome
By Jiri L
•Jan 3, 2021
Very good. The only downside is the reliance on an old version of Tensorflow
By Damien C
•Sep 8, 2017
Excellent on the basis. could cite frameworks like hyperopt, hyperas, etc...
By Luigi C
•Aug 29, 2017
There are still some minor typos to correct, but it's a great course anyway!
By Ashim M
•Oct 6, 2020
Builds really well. Didn't know about gradient checking before this course!
By IDRIS S
•Jul 4, 2020
activity at the end used tensorflow 1, support for tf2 would be appreciated
By Samuel E
•May 27, 2020
Programming assignments can be made more rigorous with more hands-on coding
By Tukaram P
•May 27, 2020
everything is good, jypyter notebooks are slow gets confused in assignments
By Pranaydeep C
•Apr 21, 2020
I really liked it because it made me specially under stable with Tensorflow
By Fredrik C
•Jul 18, 2019
Great, but could be better. Fix the typos. Add summarized video notes. Etc.
By Ahteshaam S
•Feb 16, 2022
The Last assignment on Tensorflow can be improved and explained in detail.
By Győző T
•Feb 18, 2021
The Tensorflow part was hard. Pleas add more explaination to the notebook.