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Bewertung und Feedback des Lernenden für Structuring Machine Learning Projects von deeplearning.ai

4.8
Sterne
47,736 Bewertungen
5,477 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....

Top-Bewertungen

MG
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.

JB
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!).

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5401 - 5425 von 5,441 Bewertungen für Structuring Machine Learning Projects

von Peter E

2. Mai 2018

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

von Mohamed E

22. Nov. 2017

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

von Jordi T A

28. Aug. 2017

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

von Clement K

11. Mai 2020

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

von Péter D

6. Okt. 2017

long videos saying actually very little ... disappointment

von Andrey L

29. Okt. 2017

Quite boring and not so interactive like the first course

von harsh s

22. Sep. 2020

good but more theoretical course rather than pratical

von Kaarthik S

25. Mai 2020

this is the boring course in the specialization

von Thomas A

2. Okt. 2019

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

von Till R

2. März 2019

Some things are best learned from experience.

von Subhadeep R

25. Sep. 2018

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

von Hernan F D

17. Dez. 2019

There is no a lot of content in this course

von Aloys N

20. Sep. 2019

Missing a bit of practical Python exercises

von Ofer G

9. Juli 2019

Pretty basic and not enough practical

von 2k19ec173 s

4. Apr. 2021

please work on the audio quality

von Agniteja M

2. Okt. 2019

Useful only for beginners

von Chaobin Y

12. Okt. 2017

Too little materials.

von Vinayagamurthy.M

5. Jan. 2020

Very theoritic

von Gerrit V

19. Aug. 2019

Much too slow

von Zeyi W

8. Apr. 2018

Too short

von Christof H

18. Sep. 2017

no praxis

von 태윤 김

9. Juli 2018

no funny

von NATHAN W

3. Mai 2021

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.

von Sergey A

1. Dez. 2017

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.

von Gianluca M

16. März 2018

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.