Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI
About the Course
Top reviews
YL
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very useful course, especially the last tensorflow assignment. the only reason i gave 4 stars is due to the lack of practice on batchnorm, which i believe is one of the most usefule techniques lately.
NC
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Yet another excellent course by Professor Ng! Really helped me gain a detailed understanding of optimization techniques such as RMSprop and Adam, as well as the inner workings of batch normalization.
6601 - 6625 of 7,238 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By Potnuru A
•Jun 18, 2018
This course provides more tips and ideas toward deep learning and introduces tensorflow. Worth it.
By Faniry R
•Mar 14, 2018
Best explanation ever! Exercises should be made available even without a possibility of submission
By Tirumala M
•Jan 23, 2018
Well explained the need of regularizations. Also python was best language to get assignments done.
By Siddhi V T
•Sep 19, 2019
An awesome course for someone who wants to learn how to tune the hyperparameters of their models.
By Alexey V
•Mar 18, 2019
Ran into bugs with some assignments, for example week 7 was not correctly calculating final model
By Tamás J
•Jun 14, 2018
Jupiter Notebook fails too offen! I had to close the window, start again, which is very annoying!
By Chen X
•Mar 27, 2018
It's fun they assume you know human error rate or optimal Bayesian. It's very rare in real world.
By Alejandro R
•Oct 26, 2017
I miss the end of video quizzes, but can't rate it lower than 4 because this course is excellent.
By Prasad D
•Jul 1, 2020
Some examples to be solved manually would have helped get a better understanding of the concepts
By Ayushman K
•Apr 24, 2020
Learnt a lot of new things. Only complain i have frmo this course is the use of Tensorflow 1.x .
By Digvijay R
•Jan 18, 2020
perhaps more practice of tensorflow is required. The tensorflow module also needs to be updated.
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.