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

4.8
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46,920 classificações
5,383 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

TG
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.

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.

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4851 — 4875 de 5,334 Avaliações para o Structuring Machine Learning Projects

por S V R

4 de Nov de 2018

The session were simple, could be more complex

por Caique D S C

30 de Jul de 2018

very good course, could be less massive though

por Виницкий И В

11 de Dez de 2019

I want a program exercise like in 1-2 courses

por Dionysios S

30 de Nov de 2018

I would like to see more practice assessments

por Luis E R

31 de Jul de 2019

Very useful concepts that few people address

por Jun P

22 de Abr de 2018

Kind of boring than the cnn and rnn class ..

por John H

29 de Ago de 2017

Useful content, could be much more succinct.

por vijaykumar

15 de Mai de 2020

This course is awesome and good knowledge .

por Alfredo M

14 de Mar de 2018

There were no practical coding homeworks :(

por Igor C

14 de Fev de 2018

A little less dense than the other courses.

por Rajesh M

11 de Out de 2017

Can reduce some of the repetitive material

por JEROME D

21 de Set de 2020

Maybe add 1 question at the end of videos

por Mr. S A

12 de Set de 2020

a bit slow and no programming assignments

por Shriniwas S U

2 de Mai de 2020

Satisfied with course. Thank u Instructor

por Hamidreza C

7 de Jan de 2020

Good course, nice case studies, liked it.

por Gaurav A

26 de Ago de 2019

Great course, good structure, nice theory

por Akansha B

3 de Ago de 2020

Was good as an intro could be hands on..

por David A

19 de Nov de 2018

Didn't get any practice coding sessions.

por Yunfei D

5 de Mar de 2018

Why is there no programming assignments?

por John K

19 de Set de 2017

I would have liked more hands o examples

por Zhen L

9 de Set de 2017

Provide many suggestions about practice.

por Michael F

20 de Abr de 2018

I would have liked more coding modules.

por bhagam a

12 de Mar de 2018

It was actually very nice and intuitive

por supperhpxd

7 de Jan de 2018

will be better if more exercises,thanks

por Amit K J

4 de Jun de 2020

Very nice organized content and quiz..