Learner Reviews & Feedback for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization by DeepLearning.AI
About the Course
Top reviews
XG
Invalid date
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.
YL
Invalid date
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.
2076 - 2100 of 7,239 Reviews for Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
By Sreekanth J
•Oct 25, 2018
Excellent Material & approach. Gained a lot of insight on how to make the model perform better.
By khaled a
•Sep 21, 2018
thanks for this course again it was informative and thanks coursera again for the financial aid
By Deboshmita G
•Sep 7, 2018
Provides thorough and optimal understanding of different knobs and switches that guide Deep NN.
By Thomas W
•Apr 14, 2018
Nice course, learnt a lot with no impediments. Quality of tuition and assessments is excellent.
By Jussi V
•Feb 18, 2018
Very good content, this course #2 essentially complements the basic sep NN content of course 2.
By Nitesh U
•Jan 31, 2018
Amazing course. Especially for beginners. Assignments particularly are great help for learning.
By A.Bashar E
•Oct 16, 2017
Great work easy to understood and to work with. Thanks for Prof Andrew Ng and Coursera as well.
By Qin W
•Sep 10, 2017
l love this course coz it give us some useful tips and tools we can use to improve our project.
By Diego S
•Sep 7, 2017
Amazing Experience! Andrew Ng and yout team are awesome! Please! Keep going with this courses!!
By Ambrish K
•Jan 21, 2022
Nice explanation by Andrew sir. Programming assignments are helpful for clearing the concepts.
By James R
•Oct 1, 2021
Very good overview and helpful programming exercises to put into practice theoretical concepts
By Patrick M
•Jun 17, 2021
This course is yet another outstanding addition to the overall specialization. Outstanding!!
By Niels P
•Jun 16, 2021
The jump from vector/matrix to tensor could be explained a little more. Otherwise good course.
By José b
•Jan 11, 2021
Excellent course giving you good background on how to improve training of deep neural networks
By Chen M
•Dec 1, 2020
A basic course for this field, just an excellent course and covers a lot of topics, thank you!
By Ankan D
•May 10, 2020
The Video sound is quite low. But the content and assignments are very nice and well prepared.
By Heidi V B
•May 2, 2020
was very excited I understood finally TensorFlow's framework a little bit. Want to learn more.
By manan m
•Mar 17, 2020
It was an amazing course and a wonderful experience and i got to learn a lot from this course.
By Jordi A C
•Feb 18, 2020
Very nice and well-explained continuation to course 1. Very usefull tools to optimize results.
By Anurag C
•Dec 2, 2019
This course is very helpful for understanding the granular details of Deep Learning. Thank You
By Horia V
•Nov 11, 2019
excellent review of main techniques in training nns, really understood now some best practices
By Jeffrey W
•Nov 11, 2019
Good course
Some difficulty with programming assignments, because errors are difficult to debug
By Mitra T
•Sep 1, 2019
this is the best like the course 1 and I am realy eager to pass the rest of this specializtion
By Takehiro M
•Oct 8, 2018
I learned theory of essential technique to get good performance using Deep Learning.
Thank you!
By Carlos F P
•Aug 16, 2018
Excellent course that provides some under the hood details for running NN. Highly recommended!