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Bewertung und Feedback des Lernenden für Structuring Machine Learning Projects von

48,866 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....



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.


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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4976 - 5000 von 5,571 Bewertungen für Structuring Machine Learning Projects

von Tomas O H

19. Juni 2019

Very useful intuitions, needs a little more of coding if possible.

von Aniceto P M

24. Apr. 2019

This course is a bit short but there i a lot of experience bottled

von Javier P

19. Okt. 2017

Programming assignments for transfer learning would have been nice

von Manish C

29. Jan. 2020

Nice to learn skills about project handling in machine learning.

von Luis E G

23. Dez. 2019

A little bit boring and repeated info., but still valuable stuff.

von Lili W

19. Aug. 2018

Tooo much time to repeat boring things...but still a good lesson!

von Nicholas K

13. Mai 2018

Worthwhile: good info and the practical aspects of tuning models.

von Alexander B

24. Apr. 2018

Good for understand how to spend your time on DL projects I guess

von Kunkyu L

14. Sep. 2017

It's difficult for me, so I have to retake 3 course, when I need.

von harm l

10. Sep. 2017

Theoretical insights in strategic development of your ML project.

von Ziyi H

18. Nov. 2018

The answer of Questions from quiz 2 seems to be not so confident

von Mohit k

29. Juni 2018

Superbly discussed practical problems in the field of ML and DL.

von Ch N

11. Sep. 2017

A programming assignment could be included to learn more better.

von Raimondo M P

7. Apr. 2020

I would have liked some Python assignments on Transfer Learning

von Hamzah A

7. Sep. 2019

It would be better to have some hands on assignment or quizzes.

von Mehmet N

3. Jan. 2019

Some questions/answers of the quizzes were not accurate enough.

von Erik B

4. Mai 2018

Provides a more scientific approach into hyperparameter tuning.

von Qihang S

25. März 2018

I hope that in Course 3 there are some programming assignments.

von Ashwani K

27. Apr. 2020

Nicely explained the concepts and importance of error analysis

von Su L

15. März 2020

Volumns of different vedios are different. Some are too small.

von Yue Z

23. Feb. 2020

complementary material for the book "machine learning yarning"


12. März 2018

Lot of theory was their. Good but felt asleep after some time.

von Wenhai Z

27. Nov. 2017

I would wish there were more programming practice assignments.

von Kyle H

22. Okt. 2017

Contained all good content, there just wasn't very much of it.

von Daniel L

21. Sep. 2020

The course is so useful, but sometimes the voice turns so low