Chevron Left
Voltar para Structuring Machine Learning Projects

Comentários e feedback de alunos de Structuring Machine Learning Projects da instituição

48,355 classificações

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


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.


1 de dez de 2020

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.

Filtrar por:

5401 — 5425 de 5,522 Avaliações para o Structuring Machine Learning Projects


26 de fev de 2021

Week 2 was difficult to understand

por Aptha G

23 de jul de 2018

need some practical implementation

por 成萧何

27 de mar de 2019

programming assignment is needed.

por Gaurav M

13 de jun de 2018

It could be little shorter module

por Sergey A

18 de set de 2017

Too short and not enough practice

por Pablo A

1 de mar de 2020

Good introduction, a bit basic

por Michael N

2 de mai de 2018

Okay, but lacks practicality

por Zhao Y

28 de jan de 2018

Not much useful information.

por Alban S

8 de dez de 2017

A lot of video badly edited.

por Abhijeet M

7 de jul de 2019

Informative but too short

por Fengxin Y

10 de set de 2017

not that useful i thought

por Francesc C F

28 de ago de 2017

I missed the coding parts


18 de dez de 2019

understood little bit

por 邹存安

8 de jan de 2019


por 禹宏康

10 de dez de 2018


por Pratik k c

5 de nov de 2017

Very Theoretical !!

por Tom M

24 de ago de 2017

I very simple class

por Mathew S

31 de dez de 2017

Its informational

por Kenneth C V

7 de out de 2020

Complex Material

por Siwei Y

28 de nov de 2017

就两周的课, 我不知道算是凑数吗

por Mohit S

15 de jul de 2020

Not that good.

por Boris F

25 de fev de 2018

to theoritcal

por Yide Z

17 de dez de 2017

too much bugs

por דוד ב

19 de ago de 2019

No Homework!

por Sean L

6 de out de 2019

Bit tedious