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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

MG

Mar 30, 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.

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!

筛选依据：

2801 - Structuring Machine Learning Projects 的 2825 个评论（共 5,746 个）

创建者 Prashant S

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Jul 19, 2023

one of the most elaborate and well explained course

创建者 Tobias L

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Aug 26, 2020

Great course, focusing on the bigger picture of ML.

创建者 Caroline W

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Aug 2, 2020

The course is useful, and the teacher teaches well.

创建者 Shankar M

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May 6, 2020

Wow! Any machine learning beginner would love this!

创建者 Diego M

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Apr 24, 2020

Gives production experience to a junior AI engineer

创建者 Han-Chung L

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Jan 25, 2020

The insights provided by Prof Ng is second to none.

创建者 MIGUEL A Z G

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Jan 23, 2020

Those case study were awesome! totally recommended!

创建者 Jorge M G O

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Jul 28, 2019

Thanks, I learned a lot of things with this course.

创建者 Anand V

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Jul 26, 2019

case study is great. That helps to think strategy.

创建者 Shail R

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Nov 14, 2018

Excellent insights based on significant experience.

创建者 Peter S

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Nov 10, 2018

Very useful. Liked the case study type assignments.

创建者 Daniel L

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Jun 24, 2018

Great course with some useful tips for practical ML

创建者 Ashwini k p

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Apr 27, 2018

Truly unique material not available in books or web

创建者 Hassan S

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Apr 4, 2018

Thanks a lot for the simulations, I did enjoy them!

创建者 Huy P

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Mar 25, 2018

Really awesome, practical workflow with case study!

创建者 Mohamed R M

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Feb 1, 2018

Thanks coursera for this course.It was very useful.

创建者 Tsang S H

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Nov 26, 2017

Systemic workflow is rarely mentioned in papers !!!

创建者 Guillaume H

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Nov 14, 2017

Great, the most useful course so far to be honnest!

创建者 Prabin S

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Oct 29, 2017

Great Course. Thank you Andrew. Thank you Coursera.

创建者 Shayak R

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Oct 29, 2017

Good Practical tips for deep learning practitioners

创建者 孔燕斌

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Oct 19, 2017

It's make me ready for a real deep learning project

创建者 Anders B

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Oct 3, 2017

Must watch for anyone doing or planning on doing ML

创建者 Ling G

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Sep 24, 2017

Very insightful and I like the pilot project a lot.

创建者 侯博维

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Sep 17, 2017

waiting for the next class, hope it can begin soon.

创建者 golden g

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Aug 31, 2017

非常适合甲方\导师\研发团队头目\产品经理, 即时战略类课程, 讲述如何评估模型如何挑选改进方向,