Chevron Left
返回到 Structuring Machine Learning Projects

學生對 deeplearning.ai 提供的 Structuring Machine Learning Projects 的評價和反饋

4.8
47,741 個評分
5,479 條評論

課程概述

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....

熱門審閱

AM
2017年11月22日

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.

TG
2020年12月1日

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.

篩選依據:

5401 - Structuring Machine Learning Projects 的 5425 個評論(共 5,441 個)

創建者 Peter E

2018年5月2日

Too theoretical. It would be good to have some practical (programming) assignments here as well.

創建者 Mohamed E

2017年11月22日

Not much to learn in this course, basic recommendations can be condensed in one or two lectures

創建者 Jordi T A

2017年8月28日

A lot of the content seemed redundant both within the lectures and with the previous courses

創建者 Clement K

2020年5月11日

Interesting but redundant. It's not worth an entire course, even if it's only two weeks

創建者 Péter D

2017年10月6日

long videos saying actually very little ... disappointment

創建者 Andrey L

2017年10月29日

Quite boring and not so interactive like the first course

創建者 harsh s

2020年9月22日

good but more theoretical course rather than pratical

創建者 Kaarthik S

2020年5月25日

this is the boring course in the specialization

創建者 Thomas A

2019年10月2日

Can be better, but there's way too much fluff

創建者 Till R

2019年3月2日

Some things are best learned from experience.

創建者 Subhadeep R

2018年9月25日

Frankly I didn't find this to be very useful.

創建者 Hernan F D

2019年12月17日

There is no a lot of content in this course

創建者 Aloys N

2019年9月20日

Missing a bit of practical Python exercises

創建者 Ofer G

2019年7月9日

Pretty basic and not enough practical

創建者 2k19ec173 s

2021年4月4日

please work on the audio quality

創建者 Agniteja M

2019年10月2日

Useful only for beginners

創建者 Chaobin Y

2017年10月12日

Too little materials.

創建者 Vinayagamurthy.M

2020年1月5日

Very theoritic

創建者 Gerrit V

2019年8月19日

Much too slow

創建者 Zeyi W

2018年4月8日

Too short

創建者 Christof H

2017年9月18日

no praxis

創建者 태윤 김

2018年7月9日

no funny

創建者 NATHAN W

2021年5月3日

extremely overgeneralized with no information on how to apply any of these concepts to an industry application. No manufacturing facility birdwatches as a source of income.

創建者 Sergey A

2017年12月1日

Extremely boring course without any practice. All the topics explained could be summarized on a dozen of pages which are obviously much easier and faster to read.

創建者 Gianluca M

2018年3月16日

What is this doing here? Just useless. No science, only insights that would be valuable were they not already given in the other courses of the specialization.