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

4.8
звезд
Оценки: 45,678
Рецензии: 5,209

О курсе

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

Лучшие рецензии

TG
1 дек. 2020 г.

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 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:

5101–5125 из 5,152 отзывов о курсе Structuring Machine Learning Projects

автор: Iscru-Togan C T

12 дек. 2020 г.

The videos are to long and it presents some topics purely hipothetical. You basically spend a couple of hours without developing any useful skill

автор: everglow

27 янв. 2019 г.

I still feel a little confused when I have so many options to improve my NN. This course is less clearly taught than the two former to this one!

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