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

4.8
stars
50,119 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

YP

Jul 26, 2018

Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN? ?? ???? ??? ???? ???? ? ??? ???? ??? ?? ?? ???!

SB

May 7, 2020

This course gave some very useful tips on how to start with a Machine learning project when I was struggling to do so. It also gave useful information about error analysis and data set distribution.

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May 18, 2020

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May 3, 2020

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May 11, 2019

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Sep 26, 2018

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Sep 18, 2017

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Aug 27, 2017

很实战

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Jun 10, 2020

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Oct 16, 2019

ok

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Aug 25, 2019

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Nov 6, 2018

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Aug 19, 2017

好！

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Jul 15, 2022

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Dec 28, 2020

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Sep 18, 2020

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Sep 30, 2019

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Oct 31, 2018

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Jul 25, 2018

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May 8, 2018

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By Yujie C

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Feb 2, 2018

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Oct 18, 2017

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By StudyExchange

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Aug 21, 2017

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