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

4.8
stars
50,118 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鈥檚 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

MG

Mar 31, 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 26, 2018

Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN鞚� 鞁れ牅 鞝侅毄頃犽晫 氚橂摐鞁� 鞚错暣頃橁碃 鞝侅毄頃挫暭 頃� 鞁れ鞝� 雮挫毄霌る 甑劚霅� 氅嬱 旖旍姢 鞛呺媹雼�!

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5101 - 5125 of 5,745 Reviews for Structuring Machine Learning Projects

By Wynand

鈥�

Feb 16, 2018

Good, not dissimilar information from what was taught in the ML course

By R. P R

鈥�

Dec 1, 2017

Will return to this lecture again in the future as reference material.

By Isaac K

鈥�

Nov 27, 2017

Has some useful information, but is lacking any programming exercises.

By george v

鈥�

Nov 3, 2017

great-practical advices. nice simulation of the problems in the quizes

By Tianyue Z

鈥�

Sep 11, 2017

Talks about error analysis and strategies of how to proceed a project.

By Liu X

鈥�

Sep 13, 2020

the quiz of the 2nd week has a wrong question锛� in my quiz锛宼his 10th銆�

By Abhishek N

鈥�

Dec 23, 2018

Great course. Loved the lectures, but the assignments were ambiguous.

By Jes煤s C

鈥�

Oct 14, 2018

Great course!

I only missed how to deal with unbalanced training sets.

By Jeremy O

鈥�

Jul 15, 2018

Great information - A few more video errors than in previous courses.

By John W

鈥�

Oct 3, 2017

Another informative course. A bit repetitive but overall very useful.

By Jacques J

鈥�

Sep 6, 2017

Would have loved a lot more content and a lot more practice examples.

By Hugo H M A

鈥�

Dec 16, 2020

It's so good but I think is for intermediate level rather than entry

By Mihir S D

鈥�

Apr 7, 2020

Great course! Would be better if programming exercises were included

By Edoardo S

鈥�

Feb 3, 2019

A bit too theoretical and not empirical but still really interesting

By Dieter V

鈥�

Apr 24, 2020

The value of this course is mostly in the quizzes. Very insightful.

By Michael B

鈥�

Apr 4, 2018

Well structured material - trigger the desire to know more and more

By yifeng z

鈥�

Feb 28, 2018

kind of lacking in practical assignment. only quiz seems not enough

By Roger F

鈥�

Dec 4, 2017

It would be great to get some explanations in regard to both tests.

By Shirley Z

鈥�

Nov 7, 2017

Could be more examples or coding assignments for transfer learning.

By chao L

鈥�

Sep 30, 2017

Distills the key and practical aspects of machine learning projects

By Chuyi H

鈥�

Jul 2, 2020

the knowledge is very relevant and the quiz is fun and challenging

By Tom谩s O

鈥�

Jun 20, 2019

Very useful intuitions, needs a little more of coding if possible.

By Aniceto P M

鈥�

Apr 25, 2019

This course is a bit short but there i a lot of experience bottled

By Javier P

鈥�

Oct 19, 2017

Programming assignments for transfer learning would have been nice

By manish c

鈥�

Jan 29, 2020

Nice to learn skills about project handling in machine learning.