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
JS
Apr 4, 2021
Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.
6726 - 6750 of 7,261 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
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 podría 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 5, 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.
By Shivaraj N
•Aug 28, 2020
Pls update to Tensorflow 2.0. Its a bit discouraging to learn and unlearn.
By Saurabh D
•Sep 12, 2019
Insights about how machine learning works in real life is quite ingeniuos.
By 신문석
•May 27, 2018
very good lecure.
somewhat difficult to me. I will repeat again and again.
By John F
•Jan 26, 2018
Very informative but got some issues with the last programming assignment.
By Arjan H
•Dec 8, 2017
More rigorous independent projects/assignments are needed for this course.
By Carol Z
•Aug 18, 2017
Deepened my understanding of how to make deep neural networks work better!
By Kleber T
•May 21, 2021
very extensive content. I missed more text content to support the theory.