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
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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
AA
Oct 22, 2017
Assignment in week 2 could not tell the difference between 'a-=b' and 'a=a-b' and marked the former as incorrect even though they are the same and gave the same output. Other than that, a great course
6626 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 6650 个评论（共 7,283 个）
创建者 Tim W
•Aug 20, 2020
Course material was quite good, only disappointment was that it was taught in tensorflow 1 and not 2
创建者 John C
•May 18, 2020
Great instruction on the fundamentals. Probably need to update to Tensorflow 2 or just teach Keras.
创建者 Akshat D
•Apr 22, 2020
This was one of the amazing courses I've ever attended on Coursera. Kudos to Andrew NG and the team.
创建者 Sahil A
•Mar 11, 2020
week 3 : Tensorflow framework explanation can be much better otherwise the whole course is very good
创建者 Lin Z
•Mar 28, 2019
interesting introduction about deep neuro networks with examples on how to use Tensorflow framework.
创建者 Marijan S
•Sep 9, 2018
I learned very useful info, but the last programming asignment with tensorflow was a pain in the a**
创建者 Sébastien C
•Nov 19, 2020
This is a good overview of optimization techniques. I think the exercises are sometimes too guided.
创建者 Gopal K
•Jul 15, 2020
A lot things I got to learn.Also the worksheet were properly designed to clear any doubt if one had
创建者 Apoorv A
•Feb 4, 2019
I think things could have been more difficult. Currently it is way to easy to pass the assignments.
创建者 Sajal D
•Sep 13, 2020
an awesome course.....one can know more about deep learning from scratch by enrolling this course.
创建者 Potnuru A
•Jun 17, 2018
This course provides more tips and ideas toward deep learning and introduces tensorflow. Worth it.
创建者 Faniry R
•Mar 13, 2018
Best explanation ever! Exercises should be made available even without a possibility of submission
创建者 Tirumala M
•Jan 23, 2018
Well explained the need of regularizations. Also python was best language to get assignments done.
创建者 Siddhi V T
•Sep 19, 2019
An awesome course for someone who wants to learn how to tune the hyperparameters of their models.
创建者 Alexey V
•Mar 18, 2019
Ran into bugs with some assignments, for example week 7 was not correctly calculating final model
创建者 Tamás J
•Jun 14, 2018
Jupiter Notebook fails too offen! I had to close the window, start again, which is very annoying!
创建者 Chen X
•Mar 26, 2018
It's fun they assume you know human error rate or optimal Bayesian. It's very rare in real world.
创建者 Alejandro R
•Oct 25, 2017
I miss the end of video quizzes, but can't rate it lower than 4 because this course is excellent.
创建者 Prasad D
•Jul 1, 2020
Some examples to be solved manually would have helped get a better understanding of the concepts
创建者 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 .
创建者 Digvijay R
•Jan 18, 2020
perhaps more practice of tensorflow is required. The tensorflow module also needs to be updated.
创建者 Isaraparb L
•Jul 15, 2018
Some of the math may be hard to grasp, but the course gives a lot of useful information overall.
创建者 Amine B
•Apr 25, 2018
Great course, very complete and instructive! The programming exercices should yet be less guided
创建者 Shobhit K
•Aug 7, 2022
I felt Tensorflow coverage was fairly limited and more practice of Tensorflow would have helped
创建者 Yasod S G
•Aug 3, 2020
It is better if you can provide some proper documentation for the TensorFlow coding. (syntaxes)