Chevron Left
Structuring Machine Learning Projects に戻る

deeplearning.ai による Structuring Machine Learning Projects の受講者のレビューおよびフィードバック

4.8
48,116件の評価
5,520件のレビュー

コースについて

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....

人気のレビュー

AM

2017年11月22日

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.

TG

2020年12月1日

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.

フィルター:

Structuring Machine Learning Projects: 5326 - 5350 / 5,487 レビュー

by C. I

2017年8月17日

Very short, not many practical examples. Lots of repetitions.

by W S

2019年8月31日

Video lectures tend to be repetitious, and can be confusing.

by Anthony M

2017年10月23日

Practical knowledge, but I would prefer more hands on coding

by Jiheng R Z

2017年9月9日

Quite a few errors and ambiguities in the practice problems.

by Zingg

2017年11月16日

The topics are interesting however the content is off par.

by Axel G

2020年6月14日

Good content, but very focused on Computer Vision and NLP

by Daniel D

2017年9月4日

The course es good, but it seems still under development.

by Juan A C A

2017年8月30日

It would be better if you include programming exercises.

by A M

2018年1月13日

It was hard to keep interested - lost focus many times

by Brandon C

2018年12月6日

lacking in the usual engaging programming assignments

by Varun S

2018年9月23日

Was expecting more scenarios for real data experience

by Jian Z

2017年11月6日

个人感觉课程的内容比较难于理解,希望老师在设计ppt方面能给出一些完整直观的解释,有的时候书写会不是很清晰

by Bogdan P

2018年9月19日

The course is OK, but it lacks programming exercises

by JETTIBOINA V N D S R P

2019年7月20日

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

by Tzushuan W

2019年6月1日

Wordy and too abstract without hands on experience.

by Evgeny S

2018年4月5日

I would rather expect a course more like a capstone

by Mirko R

2021年1月4日

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

by Rishab K

2020年4月25日

a assignment could be given along with the theory

by Eric H

2021年5月17日

Very little content. Everything was common sense

by Md. S R F L C

2019年12月24日

More programming exercises would have been great

by Beatriz S M

2018年2月14日

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

by AKUT J R

2020年8月16日

Nice module however some repetition of content!

by Mikhail G

2017年10月31日

quite short, would be nice to get some practice

by Yabo L

2022年3月6日

The problems in quiz are like game of wording.

by Paavan G

2020年9月19日

Could have included some programming exercises