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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：

2601 - Structuring Machine Learning Projects 的 2625 个评论（共 5,746 个）

创建者 Varun V P

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Jul 10, 2018

Great course on do's and dont's for applied ml in industry.

创建者 Fatima A

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Apr 23, 2018

Excellent course like any other courses by deeplearning.ai.

创建者 Jue W

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Mar 13, 2018

Practical and useful advice and scenarios for the homeworks

创建者 ahmed a k

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Feb 9, 2018

very good course with more tricks in AI field with easy way

创建者 Andrew S

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Jan 31, 2018

Amazing course, very easy to understand and you learn a lot

创建者 Karun G

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Nov 24, 2017

very practical and precise. full of real examples. love it!

创建者 JUNGHOON C

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Nov 23, 2017

the most practical course about deep learning in the world!

创建者 Tao H

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Nov 1, 2017

Very useful from practical perspective! Highly recommended!

创建者 Ryan L

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Sep 28, 2017

Wonderful courses, I've learned more about deep learning !

创建者 Min S

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Sep 8, 2017

Nice course to learn the steps to solve a problem using ML.

创建者 Federico K K

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Sep 5, 2017

Very useful if you want to start a new project from scratch

创建者 Tiago B L

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Jul 5, 2022

Unique course on how to Strucure a ML Project for success

创建者 Filao's N

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Sep 18, 2020

Thank you for all the knowledge you give me. Thanks allot!

创建者 Gautam B

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Aug 16, 2020

Learnt many new tricks from the master. Thank you Coursera

创建者 Zhivko G

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Jun 21, 2020

The course provides a lot of practically applicable ideas.

创建者 Grandhi V

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Jun 8, 2020

Amazing insights and strategies in approaching a problem!!

创建者 Bangamu H A R A B

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May 8, 2020

Specially appreciate the videos about Deep learning Heroes

创建者 Bryon H

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May 4, 2020

Lots of useful strategies for many deep learning problems.

创建者 Roman N

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Apr 22, 2020

Great techniques and insights from excellent practitioner!

创建者 Deleted A

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Mar 2, 2020

the methods and strategies in this course are very useful!

创建者 Arumugam M

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Nov 25, 2019

Clear Explanation of Minute Techniques in Machine Learning

创建者 Chandu W

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Nov 3, 2019

Very systematic and thought-provoking approach. Thank you!

创建者 Jonathan F

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Aug 9, 2019

Helpful overview of how to conduct a deep learning project

创建者 Nenad S

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Jun 8, 2019

Builds great intuition for building and improving systems.

创建者 Chris W

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May 11, 2019

Great practical advice for applied deep learning projects!