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Bewertung und Feedback des Lernenden für Structuring Machine Learning Projects von

48,887 Bewertungen

Über den Kurs

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....



1. Juli 2020

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!).


30. März 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.

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5426 - 5450 von 5,576 Bewertungen für Structuring Machine Learning Projects

von Justin C

22. Okt. 2022

Quiz questions are too vague. Need more clarity.

von Mirko R

4. Jan. 2021

It's been overall useful, but it's not "hard" ML.

von Rishab K

25. Apr. 2020

a assignment could be given along with the theory

von Eric H

17. Mai 2021

Very little content. Everything was common sense

von Md. S R F L C

24. Dez. 2019

More programming exercises would have been great

von Beatriz S M

14. Feb. 2018

Very general, I would like to be more specific..

von AKUT J R

16. Aug. 2020

Nice module however some repetition of content!

von Mikhail G

31. Okt. 2017

quite short, would be nice to get some practice

von Yabo L

6. März 2022

The problems in quiz are like game of wording.

von Paavan G

19. Sep. 2020

Could have included some programming exercises

von Thomas A

26. März 2020

Interesting but not very straight-to-the point

von Marco A L H

24. Sep. 2018

not as fun as the other courses of this series

von Manish S

9. Apr. 2018

Content was not enough to create a new course.

von Edward W

24. Okt. 2017

Expect more hand-on code practice or more quiz

von Allan Y

30. März 2018

Should not be a separate course. Too general.

von Adam S

27. Dez. 2017

Some useful insights but not much depth here.

von Rahul T

29. Juli 2021

Very Well explaination of real life example

von Haoran Z

5. Aug. 2020

sometimes, it really hard to hear the voice

von Ankoor B

12. Dez. 2017

Not much coding. Some lectures were rushed.

von Qu S

18. Nov. 2018


von 苏僮

15. Aug. 2021

There's no assignments to practise now :(

von Liam A

14. Juni 2019

Kinda boring, but still pretty practical.

von Daniel N

19. Juni 2020

Would have liked to have some exercises.

von Carl E C

16. Mai 2020

Not enough hands-on (coding) assignments

von Anh N

29. Dez. 2017

The concepts are difficult to understand