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Вернуться к Structuring Machine Learning Projects

Отзывы учащихся о курсе Structuring Machine Learning Projects от партнера deeplearning.ai

4.8
звезд
Оценки: 46,166
Рецензии: 5,273

О курсе

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....

Лучшие рецензии

TG
1 дек. 2020 г.

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.

MG
30 мар. 2020 г.

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.

Фильтр по:

5101–5125 из 5,221 отзывов о курсе Structuring Machine Learning Projects

автор: Nico A

9 июля 2019 г.

not as interesting as the other courses

автор: Toon W

30 апр. 2018 г.

Not enough real programming examples.

автор: PRATHEES K S 1

26 февр. 2021 г.

Week 2 was difficult to understand

автор: Aptha G

23 июля 2018 г.

need some practical implementation

автор: 成文辉

27 мар. 2019 г.

programming assignment is needed.

автор: Gaurav M

13 июня 2018 г.

It could be little shorter module

автор: Sergey A

18 сент. 2017 г.

Too short and not enough practice

автор: Pablo A

1 мар. 2020 г.

Good introduction, a bit basic

автор: Michael N

2 мая 2018 г.

Okay, but lacks practicality

автор: Zhao Y

28 янв. 2018 г.

Not much useful information.

автор: Alban S

8 дек. 2017 г.

A lot of video badly edited.

автор: Abhijeet M

7 июля 2019 г.

Informative but too short

автор: Fengxin Y

10 сент. 2017 г.

not that useful i thought

автор: Francesc C F

28 авг. 2017 г.

I missed the coding parts

автор: SUPARNA C

18 дек. 2019 г.

understood little bit

автор: 邹存安

8 янв. 2019 г.

可能是偏向实际应用,对我理论方向的帮助很少

автор: 禹宏康

10 дек. 2018 г.

讲道理这么课内容有点少,而且有点空....

автор: Pratik k c

5 нояб. 2017 г.

Very Theoretical !!

автор: Tom M

24 авг. 2017 г.

I very simple class

автор: Mathew S

31 дек. 2017 г.

Its informational

автор: Kenneth C V

7 окт. 2020 г.

Complex Material

автор: Siwei Y

28 нояб. 2017 г.

就两周的课, 我不知道算是凑数吗

автор: Mohit S

15 июля 2020 г.

Not that good.

автор: Fotsing B K

25 февр. 2018 г.

to theoritcal

автор: Yide Z

17 дек. 2017 г.

too much bugs