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Вернуться к Structuring Machine Learning Projects

Отзывы учащихся о курсе Structuring Machine Learning Projects от партнера deeplearning.ai

4.8
звезд
Оценки: 47,373
Рецензии: 5,437

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

AM
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.

JB
1 июля 2020 г.

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!).

Фильтр по:

5201–5225 из 5,398 отзывов о курсе Structuring Machine Learning Projects

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.

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