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

45,685 个评分
5,209 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....


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.

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.


4676 - Structuring Machine Learning Projects 的 4700 个评论(共 5,153 个)

创建者 Florian M

Aug 24, 2017

Very interesting tools and ideas for applied ML.

创建者 Jason G

Nov 24, 2018

Not as strong as the other 4 of 5 of the series

创建者 Mark

Oct 12, 2018

Great course. Needs deeper practical examples.

创建者 Francis J

Feb 25, 2018

A lot of insights rather than technical details

创建者 Lukáš L

Jan 7, 2018

Coding exercises would be great in this course.

创建者 Mares B

Nov 17, 2020

A little short, maybe more hands on exercises?

创建者 Ed G

Nov 8, 2020

Concise course with some interesting concepts.

创建者 Tulip T

Jul 23, 2019

Quite helpful when you start a new ML project.

创建者 S V R

Nov 4, 2018

The session were simple, could be more complex

创建者 Caique D S C

Jul 30, 2018

very good course, could be less massive though

创建者 Ivan V

Dec 11, 2019

I want a program exercise like in 1-2 courses

创建者 Dionysios S

Nov 30, 2018

I would like to see more practice assessments

创建者 Luis E R

Jul 31, 2019

Very useful concepts that few people address

创建者 Jun P

Apr 22, 2018

Kind of boring than the cnn and rnn class ..

创建者 John H

Aug 29, 2017

Useful content, could be much more succinct.

创建者 vijaykumar

May 15, 2020

This course is awesome and good knowledge .

创建者 Alfredo M

Mar 14, 2018

There were no practical coding homeworks :(

创建者 Igor C C

Feb 14, 2018

A little less dense than the other courses.

创建者 Rajesh M

Oct 11, 2017

Can reduce some of the repetitive material


Sep 20, 2020

Maybe add 1 question at the end of videos

创建者 Mr. S A

Sep 12, 2020

a bit slow and no programming assignments

创建者 Shriniwas S U

May 2, 2020

Satisfied with course. Thank u Instructor

创建者 Hamidreza C

Jan 7, 2020

Good course, nice case studies, liked it.

创建者 Gaurav A

Aug 26, 2019

Great course, good structure, nice theory

创建者 Akansha B

Aug 3, 2020

Was good as an intro could be hands on..