Chevron Left
Вернуться к Structuring Machine Learning Projects

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

4.8
звезд
Оценки: 47,188
Рецензии: 5,420

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

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.

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.

Фильтр по:

5326–5350 из 5,377 отзывов о курсе Structuring Machine Learning Projects

автор: Saad K

12 сент. 2017 г.

I found it quite verbose... Could have easily been shrunk and fit inside the other course... Don't think it needs a separate course for this

автор: Matías L M

29 окт. 2017 г.

Really bad course. Even the professor does a good job at explaining everything, it does not seem to be a technical course :(

автор: Kedar A P

18 июля 2018 г.

This course is too theoretical, would like to see some multi task learning or transfer learning programming assignments.

автор: Viliam R

21 окт. 2017 г.

i missed practical (programming) assignments here. quizes are great, but could never substitute for getting hands dirty.

автор: Vishal K

17 дек. 2017 г.

The weakest of the three so far - comparatively lots of fluff. Unclear definitions with lots of perhapses and maybes.

автор: Benoit D

15 авг. 2017 г.

I have been working in industry for 5 years now and this are not really the problems we encounter in practice.

автор: Mads E H

26 окт. 2017 г.

Not applicable enough. I think you need more tooling around DL before these meta lectures makes sense.

автор: Dafydd S

23 окт. 2017 г.

Had the feeling of a "filler" course although it was interesting to hear about the various challenges

автор: Alexander V

25 февр. 2018 г.

A lot of very common-place suggestions that could just as easily be conveyed in a third of the time.

автор: Nahuel S R

4 мар. 2020 г.

Demasiado contenido teórico sin aplicaciones prácticas reales que permitan consolidar lo aprendido

автор: Peter E

2 мая 2018 г.

Too theoretical. It would be good to have some practical (programming) assignments here as well.

автор: Mohamed E

22 нояб. 2017 г.

Not much to learn in this course, basic recommendations can be condensed in one or two lectures

автор: Jordi T A

28 авг. 2017 г.

A lot of the content seemed redundant both within the lectures and with the previous courses

автор: Clement K

11 мая 2020 г.

Interesting but redundant. It's not worth an entire course, even if it's only two weeks

автор: Péter D

6 окт. 2017 г.

long videos saying actually very little ... disappointment

автор: Andrey L

29 окт. 2017 г.

Quite boring and not so interactive like the first course

автор: harsh s

22 сент. 2020 г.

good but more theoretical course rather than pratical

автор: Kaarthik S

25 мая 2020 г.

this is the boring course in the specialization

автор: Thomas A

2 окт. 2019 г.

Can be better, but there's way too much fluff

автор: Till R

2 мар. 2019 г.

Some things are best learned from experience.

автор: Subhadeep R

25 сент. 2018 г.

Frankly I didn't find this to be very useful.

автор: Hernan F D

17 дек. 2019 г.

There is no a lot of content in this course

автор: Aloys N

20 сент. 2019 г.

Missing a bit of practical Python exercises

автор: Ofer G

9 июля 2019 г.

Pretty basic and not enough practical

автор: 2k19ec173 s

4 апр. 2021 г.

please work on the audio quality