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Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI

4.8
stars
50,110 ratings

About the Course

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....

Top reviews

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.

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!

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4551 - 4575 of 5,743 Reviews for Structuring Machine Learning Projects

By hengfengtian@126.com

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Nov 18, 2018

深入浅出

By 黄坚

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Nov 4, 2018

good

By Hao X

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Oct 3, 2018

👍🏼

By 徐玄清

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Aug 22, 2018

nice

By Harsh D

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Jul 1, 2018

good

By 陈杰

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Jun 24, 2018

good

By 王欢

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Jun 13, 2018

Cool

By Wu B

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Jun 4, 2018

good

By 喆 李

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May 8, 2018

good

By colinzuo

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Feb 28, 2018

good

By Nathan W

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Jan 19, 2018

Done

By Aleksei T

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Jan 7, 2018

Yay!

By 王琳娜

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Dec 19, 2017

good

By hankyang

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Dec 16, 2017

good

By jasonlee

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Nov 5, 2017

nice

By skyfacon

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Oct 20, 2017

nice

By wangdawei

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Oct 18, 2017

good

By Цхондия Г А

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Oct 5, 2017

cool

By 马明

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Sep 20, 2017

good

By 钱智盈

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Sep 19, 2017

good

By GAOBO C

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Sep 18, 2017

good

By So P

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Nov 8, 2020

ood

By DARAM B S - E

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May 18, 2020

Spr

By Oumar B

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May 2, 2020

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