Chevron Left
Voltar para Structuring Machine Learning Projects

Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição deeplearning.ai

4.8
estrelas
47,353 classificações
5,433 avaliações

Sobre o curso

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....

Melhores avaliações

JB
1 de Jul de 2020

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!).

MG
30 de Mar de 2020

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.

Filtrar por:

5251 — 5275 de 5,397 Avaliações para o Structuring Machine Learning Projects

por JETTIBOINA V N D S R P

20 de Jul de 2019

Learned new things but the course was boring.......

por Tzushuan W

1 de Jun de 2019

Wordy and too abstract without hands on experience.

por Evgeny S

5 de Abr de 2018

I would rather expect a course more like a capstone

por Mirko R

4 de Jan de 2021

It's been overall useful, but it's not "hard" ML.

por Rishab K

25 de Abr de 2020

a assignment could be given along with the theory

por Eric H

17 de Mai de 2021

Very little content. Everything was common sense

por Md. S R F L C

24 de Dez de 2019

More programming exercises would have been great

por Beatriz S M

14 de Fev de 2018

Very general, I would like to be more specific..

por AKUT J R

16 de Ago de 2020

Nice module however some repetition of content!

por Mikhail G

31 de Out de 2017

quite short, would be nice to get some practice

por Paavan G

19 de Set de 2020

Could have included some programming exercises

por Thomas A

26 de Mar de 2020

Interesting but not very straight-to-the point

por Marco A L H

24 de Set de 2018

not as fun as the other courses of this series

por Manish S

9 de Abr de 2018

Content was not enough to create a new course.

por Edward W

24 de Out de 2017

Expect more hand-on code practice or more quiz

por Allan Y

30 de Mar de 2018

Should not be a separate course. Too general.

por Adam S

27 de Dez de 2017

Some useful insights but not much depth here.

por Rahul T

29 de Jul de 2021

Very Well explaination of real life example

por Haoran Z

5 de Ago de 2020

sometimes, it really hard to hear the voice

por Ankoor B

12 de Dez de 2017

Not much coding. Some lectures were rushed.

por Qu S

18 de Nov de 2018

感觉前几个课程还行,到这章有点水了。。。(我不是说这部分知识不重要,但是也太少了吧)

por 苏僮

15 de Ago de 2021

There's no assignments to practise now :(

por Liam A

14 de Jun de 2019

Kinda boring, but still pretty practical.

por Daniel N

19 de Jun de 2020

Would have liked to have some exercises.

por Carl E C

16 de Mai de 2020

Not enough hands-on (coding) assignments