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
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
AS
Apr 18, 2020
Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course
2151 - Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization 的 2175 个评论（共 7,283 个）
创建者 Abdoulaye
•Apr 13, 2020
This course was just very great, I found my self very excited to learn. Thanks Sir Andrew Ng
创建者 venkatesh v
•Feb 2, 2020
Definitely 5 star ..This teaching is cake walk for newbies and concepts explained very well.
创建者 RIDVAN B
•Jan 25, 2020
The teacher is awesome and if you are interested in that topic, this course is just perfect.
创建者 ANDREW ( G
•Dec 20, 2019
Got a much better understanding of the hyperparameters! Great job on explaining the details.
创建者 Nithya K
•Sep 2, 2019
Gained knowledge on various techniques of hyper parameter tuning. Good intro to Tensor Flow.
创建者 Vivek V A
•Feb 4, 2019
Course is good for a beginner goes from basics to advanced with practice assignments as well
创建者 Abderrazak I
•Feb 2, 2019
i am galde to finish this course and i am very interested to continue to complet all courses
创建者 Yifei H
•Nov 2, 2018
Very good course! Optimization helps a lot. And there is no error in grading in this course.
创建者 Rashed D
•Aug 26, 2018
Great course for building intuition about one of the most essential skills in deep learning.
创建者 Fredrick H
•Jul 29, 2018
Excellent refinement of the neural net basics presented in Course 1. Very effective course.
创建者 Emmanuel L
•Jul 10, 2018
This is a very useful course for anyone interested in improving its deep learning skill set.
创建者 koan
•Jul 6, 2018
Overall good!If could add dropout ,L2 homework support for tensor flow ,that would be better
创建者 Tshephisho J S
•Apr 25, 2018
This course is a must study because fine-tuning models is way important in machine-learning.
创建者 Andrew H
•Apr 4, 2018
Really helped build my understanding and intuition for how hyperparameters affect NN models.
创建者 Tharindu W
•Mar 20, 2018
The course is getting interesting as the real world applications and the frameworks flow in.
创建者 KanekiKen
•Jan 16, 2018
The content is very intersting and inspiring.
Thanks to the instructors and TAs' great work!
创建者 Venkat P P
•Aug 30, 2017
Good coverage of topics for hyperparameters and clear explanations of their usage and tuning
创建者 Mehdi H
•Mar 5, 2023
coursera and anderow ng are awsome .
i hope you best
.thanks to depp ai and coursera team .
创建者 george s
•Oct 2, 2021
Essential to learn in deep the meaning and impact of each hyperparameter and other details.
创建者 Sudheer D
•Aug 2, 2020
Good content and the hands-on assignments helped a lot to get more insight about the course
创建者 Rajat P
•Jul 29, 2020
very well explained hyperparameter tuning, optimization in low level as well as tensorflow
创建者 César A F N
•Jul 15, 2020
Great course, i'm really impressed with all the math underpinning such beautiful algorithms
创建者 Vivek G
•May 7, 2020
Great Course to get an in-depth knowledge about hyperparameters and optimization techniques
创建者 Ashwin K
•Apr 25, 2020
Nice course to understand hyperparameter tuning in neural nets. Good practical information.
创建者 Shubham P
•Apr 17, 2020
Lots of hyperparameters to deal with, but no need to worry until Andrew Ng sir is with you.