学生对 DeepLearning.AI 提供的 Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的评价和反馈
课程概述
热门审阅
RR
Jun 12, 2020
Could have increased assignments and some more indepth knowledge of tensorflow and proper installation way of tensorflow cause mine is showing error when iam trying to practice as shown in the video
DH
Apr 26, 2020
Everything, Everyparameter in neural networks looks familiar to me now. I feel like I can optimize them for better accuracy. Overall I learned some new things and the way of teaching was really nice.
6676 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6700 个评论（共 7,286 个）
创建者 Surya J
•Apr 22, 2019
Great course to build intuition about tuning NN. Solid Foundation in very short duration.
创建者 Kritika A
•Mar 25, 2019
There was a lot of hand holding in programming assignments. It needs to be more rigorous.
创建者 Vasilis S
•Sep 26, 2018
Very informative course. The assignments are too trivial. Could've been more challenging.
创建者 David D
•Oct 7, 2017
Last programming assignments had some errors in them that could've easily been corrected.
创建者 Pradeep S
•Aug 6, 2023
Great course to get the basics of neural networks and deep learning as solid foundation.
创建者 Bhargav R
•May 21, 2020
Great content. Filled with rich techniques to improve models, hyperparameter tuning etc.
创建者 Václav R
•Feb 14, 2019
Could have focused a bit more on the tensorflow. Other than that - Great course, thanks!
创建者 Rajiv C
•Aug 24, 2017
It was fun to get to know other optimization techniques and how to speed up the network.
创建者 Prajwal M H (
•Apr 21, 2020
The difficulty of the course is medium. More time should be spent by learners for this
创建者 Andrew W
•Jul 29, 2019
Felt fast faced. But a good introduction to neural network hyperparameter optimization.
创建者 Gaurav B
•Nov 13, 2018
Course was really good, but I feel in tenserflow regularization should also be covered.
创建者 Ahmed A
•Oct 28, 2018
The course was very informative but the tensorflow notebook was buggy and needs fixing.
创建者 Arjan G
•Dec 7, 2017
Good course, but still has some minor issues in the assignments that needs to be fixed.
创建者 Nils-Jörn
•Dec 3, 2020
Don't like the Jupyter environment - i loved the Octave used in the basic ML Course...
创建者 Oleksandr T
•Jul 28, 2019
Last code assignment is a mess. Looks like organizers have no intention to fix errors.
创建者 Cindy Q
•Apr 1, 2018
Week 3 feels a little rushed. The tensorflow material can be explained more in detail.
创建者 Nicola P
•Nov 11, 2017
Lessons are very clear and insightful. I would have expected more complex assignments.
创建者 sree v
•Sep 5, 2017
TensorFlow assignment is not good. There are many issues in submitting the assignment.
创建者 Mohammad M H
•Jul 31, 2020
most of the topics and assignments are great! but few parts of them are a bit boring!
创建者 Mayur S
•May 9, 2020
Some more programming exercise with an combination of all the weeks would have helped
创建者 Simona T
•Mar 8, 2020
The assignements are very instructive and useful, but they could be more challenging.
创建者 Gaojing W
•Aug 28, 2017
Content is comprehensive but lack of an detailed assignment of tuning hyperparameter.
创建者 Saad B
•Mar 12, 2025
Good course! Required good intuition and understanding the math behind the scenes :D
创建者 Vincent R
•Jun 11, 2020
Great overview. The only critique is that the practice problems are a bit spoon-fed.
创建者 Utpal D
•May 9, 2020
learn a lot about how to fine tune hyperparameter & other regularization techniques.