Chevron Left
Вернуться к Structuring Machine Learning Projects

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

4.8
звезд
Оценки: 47,494
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

TG
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.

MG
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.

Фильтр по:

5301–5325 из 5,407 отзывов о курсе Structuring Machine Learning Projects

автор: SUPARNA C

18 дек. 2019 г.

understood little bit

автор: 邹存安

8 янв. 2019 г.

可能是偏向实际应用,对我理论方向的帮助很少

автор: 禹宏康

10 дек. 2018 г.

讲道理这么课内容有点少,而且有点空....

автор: Pratik k c

5 нояб. 2017 г.

Very Theoretical !!

автор: Tom M

24 авг. 2017 г.

I very simple class

автор: Mathew S

31 дек. 2017 г.

Its informational

автор: Kenneth C V

7 окт. 2020 г.

Complex Material

автор: Siwei Y

28 нояб. 2017 г.

就两周的课, 我不知道算是凑数吗

автор: Mohit S

15 июля 2020 г.

Not that good.

автор: Fotsing B K

25 февр. 2018 г.

to theoritcal

автор: Yide Z

17 дек. 2017 г.

too much bugs

автор: דוד ב

19 авг. 2019 г.

No Homework!

автор: Sean L

6 окт. 2019 г.

Bit tedious

автор: Leticia R

11 авг. 2018 г.

Bit boring.

автор: Wouter M

13 июня 2018 г.

A bit short

автор: Zhen T

19 дек. 2019 г.

Too simple

автор: Gonzalo A M

16 янв. 2018 г.

Too short.

автор: Sunil S

26 мая 2020 г.

Knowledge

автор: My I

15 мар. 2019 г.

too easy

автор: Артеменко Е В

3 сент. 2017 г.

Too easy

автор: vamshi

28 авг. 2020 г.

useful

автор: Jalis M C

7 янв. 2021 г.

good

автор: Debasish D

15 мая 2020 г.

Good

автор: Sajal J

29 окт. 2019 г.

okay

автор: KimSangsoo

17 сент. 2018 г.

괜찮음