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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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5251 - 5275 of 5,745 Reviews for Structuring Machine Learning Projects

By Fabio B

鈥�

Mar 18, 2019

Quite intresting and well explained

By Omar H G

鈥�

Mar 10, 2021

I missed the programming exercises

By Arunabha D

鈥�

Jul 8, 2020

Should have some practical coding.

By Amrit R

鈥�

Dec 28, 2019

Great course, but a bit redundant.

By Simin J

鈥�

Sep 28, 2017

There are a couple of video issues

By Duvan A

鈥�

Mar 4, 2019

Some videos have edition mistakes

By Zhao Y

鈥�

Sep 15, 2018

Need programming practice!!!!!!!!

By Jeramia P

鈥�

Sep 6, 2018

Videos are a little "unfinished."

By GOI C L

鈥�

Feb 11, 2018

should have a real tuning example

By Carlo A D A

鈥�

Jan 23, 2018

Some minor inaccuracies in videos

By Xinwei

鈥�

Nov 6, 2017

this is a very practical course.

By Rutuja B

鈥�

Aug 13, 2020

Great course! Best instructor!!

By Harold P

鈥�

Jul 2, 2019

Could have been shorter videos.

By Vinay M

鈥�

Sep 10, 2018

Though brief but really useful.

By Michael B

鈥�

Feb 23, 2020

Good concepts, but subjective.

By Michael C

鈥�

May 23, 2018

Very good experience sharing!!

By Jens R

鈥�

Nov 20, 2017

Very informative and relevant.

By Ajay P

鈥�

Sep 28, 2017

good theoretical course on ml.

By Nicolas M

鈥�

Jun 22, 2021

No practice coding at all...?

By Benoit D

鈥�

Jun 17, 2019

Lack of practical assignments

By Davide F

鈥�

Apr 20, 2019

Interesting but a bit verbose

By Emanuel G

鈥�

Dec 1, 2018

Quite short, but nice to have

By 艦眉kr眉 O

鈥�

Sep 5, 2018

A good knowledge extension...

By Jo茫o P J

鈥�

Oct 16, 2017

Good but not very challenging

By Juan P

鈥�

Aug 3, 2020

Interesting concepts. Thanks