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

4.8
36,241 个评分
3,866 条评论

课程概述

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

热门审阅

MG

Mar 31, 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.

AM

Nov 23, 2017

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

筛选依据:

3376 - Structuring Machine Learning Projects 的 3400 个评论(共 3,828 个)

创建者 Roger F

Dec 04, 2017

It would be great to get some explanations in regard to both tests.

创建者 Shirley Z

Nov 06, 2017

Could be more examples or coding assignments for transfer learning.

创建者 Chao L

Sep 29, 2017

Distills the key and practical aspects of machine learning projects

创建者 Tomas O H

Jun 20, 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 F P V

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 20, 2018

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

创建者 Nicholas K

May 14, 2018

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

创建者 Alexander Y B

Apr 24, 2018

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

创建者 Kunkyu L

Sep 15, 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 19, 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 07, 2020

I would have liked some Python assignments on Transfer Learning

创建者 Hamzah A

Sep 07, 2019

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

创建者 Mehmet N

Jan 04, 2019

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

创建者 Erik B

May 04, 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 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 28, 2017

I would wish there were more programming practice assignments.