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.
6626 - 6650 of 7,253 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By Isaraparb L
•Jul 15, 2018
Some of the math may be hard to grasp, but the course gives a lot of useful information overall.
By Amine B
•Apr 25, 2018
Great course, very complete and instructive! The programming exercices should yet be less guided
By Shobhit K
•Aug 7, 2022
I felt Tensorflow coverage was fairly limited and more practice of Tensorflow would have helped
By Yasod S G
•Aug 3, 2020
It is better if you can provide some proper documentation for the TensorFlow coding. (syntaxes)
By mandar k
•Jul 29, 2020
Great course, learned about different hyperparameter in neural networks and their optimization.
By sathwik m
•May 9, 2020
It was a great course.
I hope we are going much "deeper" in deep learning in the next courses !
By Sebastian R C
•Mar 22, 2018
I think the material is quite basic, since it is an specialization, we could go a little deeper
By Ashish C
•Jun 25, 2021
week 3 was quiet tedious and a more explanation about tenser flow would have been more useful.
By Nabham G
•May 22, 2020
Deep learning is so Deep X'D. I got to learn so many new stuff which I wasn't aware of before.
By SHAHAPURKAR S M
•May 20, 2020
The batch normalization part needs to be more comprehensive. Else, everything is just superb !
By Dongjin K
•May 19, 2020
Hope to see the course materials and assignments get updated for tensorflow 2.0 in the future!
By Kasper J
•Oct 1, 2017
Overall a very good course. However, I was hoping for more material on programming frameworks.
By Gleb F
•Nov 8, 2020
Programming assignments are too easy, and don't help to grasp and think through the material.
By Shruti S M
•Jun 5, 2020
Some more details & programming exercises about batch normalization could have been provided.
By Sanket D
•Jun 5, 2020
It could be updated to include more of the newer optimizations such as Bayesian optimization.
By Hakob J
•Oct 11, 2017
It is very helpful course both for theoretical and practical aspects of Hyperparameter tuning
By Juan A M C
•Jan 15, 2021
Me llevo un tiempo, pero lo logre. Ahora a jugar con algunos datos y mejorar los resultados.
By manpreet s
•Oct 3, 2018
good course, easy to understand and very nicely explained concepts about the neural networks
By Leonid
•Oct 5, 2017
It seems the major part of this course is taken from the original "Machine Learning" course.
By Dhatri M
•Jun 24, 2023
The content was taught in a way that made it easy to follow, the assignments were good too.
By Mahmoud M
•Feb 10, 2022
its a great course and it delivers a lot of information in a short time and that's amazing
By Chowdepalli R R
•Jul 20, 2020
tensor flow is not understood properly else the course is very good and clean to understand
By 杨之龙
•Apr 4, 2018
I have to complain why dont accompany videos with quiz and notes just like the ML coursera.
By Hyatt B
•Jan 9, 2018
Content great! I'm not convinced Jupyter notebooks are the best approach for this material.
By Joe S
•Jan 6, 2021
A good course that provides a lot of insight into how to improve upon Deep Neural Networks