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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: 47,526
Рецензии: 5,451

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

JB
1 июля 2020 г.

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).

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:

5276–5300 из 5,412 отзывов о курсе Structuring Machine Learning Projects

автор: Paavan G

19 сент. 2020 г.

Could have included some programming exercises

автор: Thomas A

26 мар. 2020 г.

Interesting but not very straight-to-the point

автор: Marco A L H

24 сент. 2018 г.

not as fun as the other courses of this series

автор: Manish S

9 апр. 2018 г.

Content was not enough to create a new course.

автор: Edward W

24 окт. 2017 г.

Expect more hand-on code practice or more quiz

автор: Allan Y

30 мар. 2018 г.

Should not be a separate course. Too general.

автор: Adam S

27 дек. 2017 г.

Some useful insights but not much depth here.

автор: Rahul T

29 июля 2021 г.

Very Well explaination of real life example

автор: Haoran Z

5 авг. 2020 г.

sometimes, it really hard to hear the voice

автор: Ankoor B

12 дек. 2017 г.

Not much coding. Some lectures were rushed.

автор: Qu S

18 нояб. 2018 г.

感觉前几个课程还行,到这章有点水了。。。(我不是说这部分知识不重要,但是也太少了吧)

автор: 苏僮

15 авг. 2021 г.

There's no assignments to practise now :(

автор: Liam A

14 июня 2019 г.

Kinda boring, but still pretty practical.

автор: Daniel N

19 июня 2020 г.

Would have liked to have some exercises.

автор: Carl E C

16 мая 2020 г.

Not enough hands-on (coding) assignments

автор: Anh N

29 дек. 2017 г.

The concepts are difficult to understand

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