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学生对 DeepLearning.AI 提供的 Structuring Machine Learning Projects 的评价和反馈

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50,128 个评分

课程概述

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....

热门审阅

YP

Jul 25, 2018

Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN을 실제 적용할때 반드시 이해하고 적용해야 할 실질적 내용들로 구성된 멋진 코스 입니다!

WG

Mar 18, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

筛选依据：

5576 - Structuring Machine Learning Projects 的 5600 个评论（共 5,746 个）

创建者 A M

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Jan 13, 2018

It was hard to keep interested - lost focus many times

创建者 Brandon C

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Dec 6, 2018

lacking in the usual engaging programming assignments

创建者 Varun S

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Sep 22, 2018

Was expecting more scenarios for real data experience

创建者 Jian Z

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Nov 5, 2017

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

创建者 Bogdan P

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Sep 19, 2018

The course is OK, but it lacks programming exercises

创建者 JETTIBOINA V N D S R P

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Jul 20, 2019

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

创建者 Tzushuan W

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Jun 1, 2019

Wordy and too abstract without hands on experience.

创建者 Evgeny S

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Apr 5, 2018

I would rather expect a course more like a capstone

创建者 Justin C

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Oct 21, 2022

Quiz questions are too vague. Need more clarity.

创建者 Mirko R

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Jan 4, 2021

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

创建者 Rishab K

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Apr 25, 2020

a assignment could be given along with the theory

创建者 Eyüp Ü

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Jun 10, 2023

Some questions in the last quiz was quite vague.

创建者 Eric H

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May 17, 2021

Very little content. Everything was common sense

创建者 Md. S R F L C

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Dec 24, 2019

More programming exercises would have been great

创建者 Beatriz S M

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Feb 14, 2018

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

创建者 AKUT J R

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Aug 16, 2020

Nice module however some repetition of content!

创建者 Mikhail G

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Oct 31, 2017

quite short, would be nice to get some practice

创建者 Yabo L

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Mar 6, 2022

The problems in quiz are like game of wording.

创建者 Paavan K G

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Sep 19, 2020

Could have included some programming exercises

创建者 Thomas A

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Mar 26, 2020

Interesting but not very straight-to-the point

创建者 Marco A L H

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Sep 24, 2018

not as fun as the other courses of this series

创建者 Manish S

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Apr 9, 2018

Content was not enough to create a new course.

创建者 Edward W

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Oct 23, 2017

Expect more hand-on code practice or more quiz

创建者 Allan Y

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Mar 29, 2018

Should not be a separate course. Too general.

创建者 Adam S

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Dec 27, 2017

Some useful insights but not much depth here.