Chevron Left
Structuring Machine Learning Projects(으)로 돌아가기

deeplearning.ai의 Structuring Machine Learning Projects 학습자 리뷰 및 피드백

4.8
30,433개의 평가
3,204개의 리뷰

강좌 소개

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn from my experience building and shipping many deep learning products. This course also has two "flight simulators" that let you practice decision-making as a machine learning project leader. This provides "industry experience" that you might otherwise get only after years of ML work experience. After 2 weeks, you will: - Understand how to diagnose errors in a machine learning system, and - Be able to prioritize the most promising directions for reducing error - Understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance - Know how to apply end-to-end learning, transfer learning, and multi-task learning I've seen teams waste months or years through not understanding the principles taught in this course. I hope this two week course will save you months of time. This is a standalone course, and you can take this so long as you have basic machine learning knowledge. This is the third course in the Deep Learning Specialization....

최상위 리뷰

AM

Nov 23, 2017

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

DC

Mar 08, 2018

Going beyond the technical details, this part of the course goes into the high level view on how to direct your efforts in a ML project. Really enjoyable and useful. Thanks for making this available!

필터링 기준:

Structuring Machine Learning Projects의 3,167개 리뷰 중 251~275

교육 기관: ANUBHAV

Mar 04, 2019

Great course. It taught me how not to waste important time in randomly trying out different configurations rather than proceeding in a systematic manner.

교육 기관: Ajay S

Feb 21, 2019

A great course learn a lot thanks for the financial aid for the course.

교육 기관: Yuan L

Mar 04, 2019

very practical and well organised course

교육 기관: Dhruv D B

Mar 04, 2019

Very practical advice in structuring ML Projects, definitely can be put to good use

교육 기관: Bahaa M

Mar 08, 2019

Very useful course, necessary for practical ML projects (planning and troubleshooting)

교육 기관: Hyeon S J

Mar 08, 2019

Nice!

교육 기관: Tan C M

Mar 09, 2019

Provides good intuition on how to structure deep learning models

교육 기관: Ng K W P

Mar 09, 2019

Well structured course. Worth spending the time watching all the videos to get a full picture of what are the key things that really matter when planning and launching the projects.

교육 기관: Vitalii S

Mar 08, 2019

Good examples and very, very good advices to apply DL systems

교육 기관: Thomas N

Mar 07, 2019

This give you guidelines how to approach a machine learning problem. You will get experiences from the tutors instead of struggling years to find out what should have done in the first place.

교육 기관: Dongrui J

Mar 09, 2019

Much easier compared to the previous two courses.

Teaching more practice experience and advice rather than algorithm and coding.

교육 기관: Tom S

Mar 10, 2019

Great class. They say experience is the best teach, but some one else's experience is sure a lot easier.

교육 기관: Utkarsh P

Mar 11, 2019

This course is extremely valuable for any Machine Learning student. It covers a lot of important concepts that need to be used even for simple ML tasks (not deep learning). This course provides a framework to iterate on your problems and I believe that will make the most difference in how fast you are able to achieve desired performance.

교육 기관: Michael O

Mar 10, 2019

Excellent guide on how to get operations started correctly and keeping on the right track

교육 기관: Vishnu N S

Mar 10, 2019

great

교육 기관: Peter P

Mar 10, 2019

Excellent practical advice on how to make quick decisions when faced with a dilemma during ML projects. The simulations really help bringing the course material to life.

교육 기관: Gzq

Mar 11, 2019

great

교육 기관: Himabindu J

Mar 10, 2019

Amazing course, very useful theoretical concepts explained!

교육 기관: Jeyabalaji S

Mar 11, 2019

This course contained useful tips on saving time on deep learning endeavours. The simulators really forced us to think through the situation and apply what we learnt. Way to go!

교육 기관: zhengli

Mar 10, 2019

I really learned a lot from this course. Thank you very much!

교육 기관: Aishwarya R

Mar 11, 2019

Machine learning flight simulator are just great to learn from.

교육 기관: Damianos M

Mar 11, 2019

Very interesting course!! It had many practical and important insights to deploy deep learning for real-life applications!

교육 기관: Bogdan G

Mar 12, 2019

Very useful course on how to treat train/dev/test sets, with very interesting assignments.

교육 기관: Ankit K

Mar 12, 2019

thanks for providing good insights on how to approach a machine learning application and where not to waste valuable efforts. I think Mr Ng has been very thoughtful to setup the structuring part as a dedicated course which highlights the importance of setting right goals and not to lose our direction during the development iterations.

교육 기관: Almir I

Mar 13, 2019

It's a great but short (2 weeks only) course!