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

4.8
stars
46,068 ratings
5,264 reviews

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

TG
Dec 1, 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

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.

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4651 - 4675 of 5,206 Reviews for Structuring Machine Learning Projects

By Alexander B

Apr 24, 2018

Good for understand how to spend your time on DL projects I guess

By Kunkyu L

Sep 14, 2017

It's difficult for me, so I have to retake 3 course, when I need.

By harm l

Sep 10, 2017

Theoretical insights in strategic development of your ML project.

By Ziyi

Nov 18, 2018

The answer of Questions from quiz 2 seems to be not so confident

By Mohit K

Jun 29, 2018

Superbly discussed practical problems in the field of ML and DL.

By Ch N

Sep 11, 2017

A programming assignment could be included to learn more better.

By Raimondo M

Apr 7, 2020

I would have liked some Python assignments on Transfer Learning

By Hamzah A

Sep 7, 2019

It would be better to have some hands on assignment or quizzes.

By Mehmet N

Jan 3, 2019

Some questions/answers of the quizzes were not accurate enough.

By Erik B

May 4, 2018

Provides a more scientific approach into hyperparameter tuning.

By Qihang S

Mar 25, 2018

I hope that in Course 3 there are some programming assignments.

By Ashwani K

Apr 27, 2020

Nicely explained the concepts and importance of error analysis

By Su L

Mar 15, 2020

Volumns of different vedios are different. Some are too small.

By Yue Z

Feb 23, 2020

complementary material for the book "machine learning yarning"

By PANKAJ R

Mar 12, 2018

Lot of theory was their. Good but felt asleep after some time.

By Wenhai Z

Nov 27, 2017

I would wish there were more programming practice assignments.

By Kyle H

Oct 22, 2017

Contained all good content, there just wasn't very much of it.

By Daniel A L G

Sep 21, 2020

The course is so useful, but sometimes the voice turns so low

By Paweł P

Oct 11, 2019

Good overview of the problems occuring while training models.

By Sathiraju E

May 25, 2019

Thank you, Andrew.

This course was very helpful though theory.

By Daniel Z

Aug 14, 2018

Good course. It would be better with programming assignments.

By Antonio H

Jul 2, 2018

I could not do the flight simulator test, it was not working.

By Youjiang Y

Jan 16, 2018

It will be really nice if there is assignment for this course

By Dioselin E B P

Jan 13, 2021

It's much information for only a one questionnaire for week!

By zhang l

Mar 16, 2020

Some of the questions in the quiz set seems a bit confusing.