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学生对 提供的 Structuring Machine Learning Projects 的评价和反馈

45,722 个评分
5,216 条评论


In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....


Mar 30, 2020

It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.

Dec 1, 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.


4601 - Structuring Machine Learning Projects 的 4625 个评论(共 5,160 个)

创建者 Chuyi H

Jul 2, 2020

the knowledge is very relevant and the quiz is fun and challenging

创建者 Tomas O H

Jun 19, 2019

Very useful intuitions, needs a little more of coding if possible.

创建者 Aniceto P M

Apr 24, 2019

This course is a bit short but there i a lot of experience bottled

创建者 Javier P

Oct 19, 2017

Programming assignments for transfer learning would have been nice

创建者 Manish C

Jan 29, 2020

Nice to learn skills about project handling in machine learning.

创建者 Luis E G

Dec 23, 2019

A little bit boring and repeated info., but still valuable stuff.

创建者 Lili W

Aug 19, 2018

Tooo much time to repeat boring things...but still a good lesson!

创建者 Nicholas K

May 13, 2018

Worthwhile: good info and the practical aspects of tuning models.

创建者 Alexander B

Apr 24, 2018

Good for understand how to spend your time on DL projects I guess

创建者 Kunkyu L

Sep 14, 2017

It's difficult for me, so I have to retake 3 course, when I need.

创建者 harm l

Sep 10, 2017

Theoretical insights in strategic development of your ML project.

创建者 Ziyi

Nov 18, 2018

The answer of Questions from quiz 2 seems to be not so confident

创建者 Mohit K

Jun 29, 2018

Superbly discussed practical problems in the field of ML and DL.

创建者 Ch N

Sep 11, 2017

A programming assignment could be included to learn more better.

创建者 Raimondo M

Apr 7, 2020

I would have liked some Python assignments on Transfer Learning

创建者 Hamzah A

Sep 7, 2019

It would be better to have some hands on assignment or quizzes.

创建者 Mehmet N

Jan 3, 2019

Some questions/answers of the quizzes were not accurate enough.

创建者 Erik B

May 4, 2018

Provides a more scientific approach into hyperparameter tuning.

创建者 Qihang S

Mar 25, 2018

I hope that in Course 3 there are some programming assignments.

创建者 Ashwani K

Apr 27, 2020

Nicely explained the concepts and importance of error analysis

创建者 Su L

Mar 15, 2020

Volumns of different vedios are different. Some are too small.

创建者 Yue Z

Feb 23, 2020

complementary material for the book "machine learning yarning"

创建者 Pankaj R

Mar 12, 2018

Lot of theory was their. Good but felt asleep after some time.

创建者 Wenhai Z

Nov 27, 2017

I would wish there were more programming practice assignments.

创建者 Kyle H

Oct 22, 2017

Contained all good content, there just wasn't very much of it.