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Отзывы учащихся о курсе Structuring Machine Learning Projects от партнера

Оценки: 47,491
Рецензии: 5,445

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

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.

22 нояб. 2017 г.

I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

Фильтр по:

5201–5225 из 5,406 отзывов о курсе Structuring Machine Learning Projects

автор: Masih B

18 июля 2020 г.

This course could be way more better, if it also focused on codeing with tensorflow (like the previous course)

автор: Janet C

29 июня 2019 г.

Overview of the machine learning process. No projects or sample code to actually organize the ideas into code.

автор: Aniruddh B

16 апр. 2020 г.

Very nice, but I don't believe the content merits a full course. It could be integrated with courses 1 and 2.

автор: Vitaliy

28 февр. 2018 г.

To much talk but understandable. Need something like programming examples with different data distributions.

автор: Rob W

12 мая 2018 г.

Seemed to be information that could have been included in another course rather than its own 2 week course.

автор: Idan P

28 мая 2018 г.

Lectures can be summed up by: "use common sense".

Quiz can be summed up by "to pass, use OUR common sense".

автор: Abd-Elrahman B

21 дек. 2017 г.

The quiz questions are quite confusing and some of them are not consistent with the content of the videos.

автор: Rishabh B

3 янв. 2020 г.

Slightly repetitive from previous courses. Could have been integrated with the future or previous course.

автор: Barnoviciu E

18 янв. 2021 г.

Filled like it could be condensed in a lot less, probably a filler to fill the 5 courses "requirement??"

автор: Tim U

11 янв. 2020 г.

More quizzes or scenario-based examples or exercises at the end in coding. This felt thin in content.

автор: Iam P d S

14 мар. 2018 г.

This course was shorter and didn't have any programming assignments. Could've been part of course 2.

автор: Aswin R

7 мая 2020 г.

Didn't turn out to be much useful. Could've added more content or added as a part of other courses.

автор: Yue E

7 мар. 2019 г.

Unfortunately, it did not match with my expectations, too much theory and no programming exercises.

автор: Isaraparb L

15 июля 2018 г.

The early part rather feels slow and repetitive. The course's content seems very important though.

автор: MEKALA S N

29 апр. 2020 г.

The videos are too lengthy, getting bored while watching them.Better reduce the length of videos.

автор: Vladislav Z

8 окт. 2017 г.

Have mixed feeling about this one.

It is more like one week course - to few materials for 2 week.

автор: Thomas B

22 окт. 2017 г.

It would have been really nice to have some project work on this one instead of just quizzes.

автор: Shivam K S

1 окт. 2019 г.

Could have been more in depth or could have been added to another course as one extra week

автор: Gowdhaman S

25 мар. 2018 г.

The course content was great and it is more theoretical. Kindly add hands-on or projects.

автор: Joseph D

28 янв. 2018 г.

Helpful guidance but I didn't get enough material to help *me* generalize what I learned.

автор: Deleted A

27 авг. 2017 г.

Some material is trivial. Some quiz questions are ambiguous, or have nonsensical answers.

автор: Vitor A B

22 февр. 2018 г.

There's no programming exercises.

Pehaps one for hyper parameter tuning would be nice.

автор: Deleted A

2 окт. 2017 г.

I was expecting more on tensorflow as well as technical work on error corrections.

автор: Marc S

18 апр. 2021 г.

Too much reading and note taking comparing to application of the topics discussed

автор: Gabriele G

24 мая 2020 г.

I wish there was a programming assignment in this course instead of only quizzes.