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

4.8
stars
49,671 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

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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2226 - 2250 of 5,692 Reviews for Structuring Machine Learning Projects

By Egor L

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Apr 16, 2018

A lot of useful tips to create neural networks systematically. Thank you!

By KanekiKen

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Jan 20, 2018

The two case studies are challenging but equally interesting and helpful.

By Prabhjot K

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Jan 8, 2018

Awesome course, lot of practical knowledge for implementing deep learning

By Pier L L

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Dec 31, 2017

Good course with a lot of practical insight on how to organize your work.

By Adar B A

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Dec 24, 2017

very useful for understanding how to handle DL results once you get them.

By Wanicca

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Oct 8, 2017

Nice courses about the practical strategy and technique of deep learning.

By Hyungjin

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May 20, 2022

Learned Practical Perspective to ML project. felt Profound View of Prof.

By YANGYANG C

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Jul 6, 2021

Very good course, giving me very good insights for my future AI program.

By Vignesh R

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May 3, 2021

Practical approach to implementing and improving Deep learning solutions

By Tony C

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Feb 6, 2021

Love the real-world examples for applying the knowledge we just learned.

By Anirudh S

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Feb 5, 2021

Incredibly useful with lots of examples and approaches. Recommend 10/10!

By Arsany A

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Nov 19, 2020

very nice course in transfering the experience of the teacher

i loved it

By Helen R

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Jul 27, 2020

Exceptional. Very useful and valuable content for deep learning project.

By Tarek S

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May 14, 2020

This was the best course in the specification of deep learning until now

By GOMATHI S S

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Apr 26, 2020

Interesting & well articulated with relevant examples. Highly recommend.

By Fasih A

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Mar 31, 2020

The best course which enabled me to revise my own deep learning project.

By Shijian G

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Nov 30, 2019

Thanks for Andrew providing so many hands-on experiences and guidelines.

By Aswin S T

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Aug 7, 2019

Essential course on real-life problems faced in a deep learning project.

By Haci A K

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Jul 17, 2019

good insights, looks like reflecting years of experience, as promised -)

By Varun

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Jul 8, 2019

Great, and the way Andrew explained, he made hard things looks too easy.

By Z L

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Mar 28, 2019

Good, practical information to help tackle ML projects most effectively.

By Pradeep I

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Mar 16, 2019

Really good lessons. Helps you how to approach solutions systematically.

By Clerc-Gherardi

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Jan 16, 2019

Really nice lecture. A better understanding how to handle a ML project !

By shijiatongxue

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Dec 11, 2018

Very nice and I have learned a lot from this course.Thank you Andrew Ng!

By Leigh L

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Nov 27, 2018

There are tons of practical suggestions based on real world experiences.