Chevron Left
返回到 Structuring Machine Learning Projects

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

4.8
50,128 个评分

课程概述

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....

热门审阅

MG

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.

YP

Jul 25, 2018

Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN을 실제 적용할때 반드시 이해하고 적용해야 할 실질적 내용들로 구성된 멋진 코스 입니다!

筛选依据:

2776 - Structuring Machine Learning Projects 的 2800 个评论(共 5,746 个)

创建者 Shaoduo X

Sep 11, 2017

Nice starter for understanding some "macro" concepts.

创建者 Liekens W

Aug 29, 2017

Nice overview on how to ML projects can be structered

创建者 Samuel E

Aug 28, 2017

Some useful insights collected together in one place!

创建者 ZEEN L

Aug 28, 2017

Very helpful, especially for those who just graduated

创建者 TUẤN N Đ

Jul 16, 2022

i can gain so many insights about ML in this course.

创建者 Camilo C V

Aug 9, 2020

very useful to better plan machine learning problems

创建者 Rekha R

Jun 6, 2020

Very good for Analyzing and Structuring ML projects.

创建者 prarabdh r 1

Apr 29, 2020

nice experience sharing.. helped a lot in my project

创建者 Deleted A

Apr 14, 2020

Great course. It helped me a lot, Thank you Coursera

创建者 ding x

Mar 20, 2020

Thanks very much, Iam happy to learn helpful skills.

创建者 Kees v d T

Feb 20, 2020

Very usefull for stucuring machine learning projects

创建者 홍진우

Dec 7, 2019

지금까지 들은 세 강의중에 최고의 강의였습니다. 실무에 많은 적용을 할 수 있을 것 같습니다.

创建者 Tamás K

Aug 5, 2019

Great material, for me it was too verbose in places.

创建者 PK M

Jan 8, 2019

Great insights on real-life problems faces with NNs.

创建者 Andrei V

Aug 23, 2018

Great way to get a glimpse of a researcher's work :)

创建者 Mirzodaler M

Apr 30, 2018

Very interesting, useful and helpful course. Thanks!

创建者 afshin m

Feb 6, 2018

Excellent information, most useful during a project.

创建者 Manuel Q

Dec 28, 2017

Brilliant course as all Andrew NG courses use to be.

创建者 刘晓鹏

Nov 3, 2017

Andrew Ng老师通过这门课系统化的传授了,在项目中会遇到的实际问题,让大家少走弯路,节省宝贵的时间

创建者 Yan L

Oct 28, 2017

very helpful for constructing a deep learning system

创建者 Farrukh

Oct 23, 2017

Amazing insights, some which can save months of work

创建者 RobinChan

Sep 6, 2017

Useful suggestions for MLers who are doing projects.

创建者 Suraj J

Feb 4, 2024

Concepts were explained in an easy-to-follow manner