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Оценки: 48,344

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.


1 дек. 2020 г.

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

Фильтр по:

5326–5350 из 5,521 отзывов о курсе Structuring Machine Learning Projects

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.

автор: jie y

2 апр. 2018 г.

It's better to have designed projects to show how to solve these specific issues.

автор: Diego P

12 июля 2019 г.

Videos are quite long. Good course although a bit heavier than the previous ones

автор: Marco L S

28 нояб. 2019 г.

Useful but not that much for assigning to those topics a course of their own.

автор: Flavius S N

17 мая 2018 г.

First week is a little bit boring for those that did Machine Learning course.

автор: R. S S

10 февр. 2018 г.

A good course though some programming exercises would have made this better.

автор: Duncan K M

19 нояб. 2017 г.

I like coding projects and hands on material, this was heavy on the videos

автор: Milton R

28 мая 2020 г.

The Course would be bit more Interesting if it some programming insight.

автор: Rohan K

1 февр. 2019 г.

Seemed lots of similar information which was covered in previous courses

автор: Greg H

15 сент. 2017 г.

It would be better if we could try coding and experimenting these ideas.

автор: Pranav N

23 дек. 2021 г.

There could have been some programming assignments in this course too.

автор: Joshua P J

23 июня 2018 г.

I fear this material won't challenge many learners. Feels like review.

автор: Anusha P

23 июня 2018 г.

No practise sessions, just theory unlike others in this specialization

автор: Moustafa A M

22 дек. 2017 г.

No details about some implementations how to implement this techniques

автор: ANAND P

30 мая 2020 г.

It was awesome but not one of the best courses in the specialization!

автор: David F

22 сент. 2017 г.

Good insights, but not much material and no programming assignments.