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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: 47,368
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.

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:

5226–5250 из 5,398 отзывов о курсе Structuring Machine Learning Projects

автор: Greg H

15 сент. 2017 г.

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

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.

автор: Ondrej S

21 июля 2021 г.

U​sefull but only theorethical course without practical excercises.

автор: Konitari

3 нояб. 2017 г.

It was rather disappointing because it didn't meet my expectations.

автор: Sébastien C

6 авг. 2020 г.

Covers interesting concepts at length. Videos could be shortened.

автор: Lambert R

16 апр. 2018 г.

Dommage qu'il n'y ait pas de TP dans ce cours (seulement 2 quizz)

автор: Mike T

24 июля 2018 г.

I wished there were exercises besides the quizzes in this course

автор: Anatolii B

1 окт. 2018 г.

some quiz questions are poorly formed, a little disappointing.

автор: Emmanuel D M

21 апр. 2020 г.

I thini the course needs more quizzess and a program exercise

автор: C. I

17 авг. 2017 г.

Very short, not many practical examples. Lots of repetitions.

автор: W S

31 авг. 2019 г.

Video lectures tend to be repetitious, and can be confusing.

автор: Anthony M

23 окт. 2017 г.

Practical knowledge, but I would prefer more hands on coding

автор: Jiheng R Z

9 сент. 2017 г.

Quite a few errors and ambiguities in the practice problems.

автор: Zingg

16 нояб. 2017 г.

The topics are interesting however the content is off par.

автор: Axel G

14 июня 2020 г.

Good content, but very focused on Computer Vision and NLP

автор: Daniel D

4 сент. 2017 г.

The course es good, but it seems still under development.

автор: Juan A C A

30 авг. 2017 г.

It would be better if you include programming exercises.

автор: A M

13 янв. 2018 г.

It was hard to keep interested - lost focus many times

автор: Brandon C

6 дек. 2018 г.

lacking in the usual engaging programming assignments

автор: Varun S

23 сент. 2018 г.

Was expecting more scenarios for real data experience

автор: Jian Z

6 нояб. 2017 г.

个人感觉课程的内容比较难于理解,希望老师在设计ppt方面能给出一些完整直观的解释,有的时候书写会不是很清晰