学生对 DeepLearning.AI 提供的 Structuring Machine Learning Projects 的评价和反馈
课程概述
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YP
Jul 25, 2018
Very important and valuable intuitions about DNN training/optimization. It's full of really practical information while implementing my own models.DNN을 실제 적용할때 반드시 이해하고 적용해야 할 실질적 내용들로 구성된 멋진 코스 입니다!
SV
Feb 19, 2019
This is the knowledge in which we will get from lots of experience only, but the andrew has shared in this course which might help us in future by saving a lot of time through this course experience
1401 - Structuring Machine Learning Projects 的 1425 个评论(共 5,746 个)
创建者 Kamal S
•Mar 23, 2018
This Course looked less important from the outside. Surprisingly gave me new ideas and cleared many misconceptions.
创建者 Shaik A
•Feb 13, 2018
Very useful information. This course gave a chance to understand organize the neural networks and machine learning.
创建者 Abin M A
•Feb 5, 2018
Very useful for beginners as this course explains many practical aspects techniques to approach real world problem.
创建者 Karl H
•Feb 4, 2018
Very informative course. It would have been nice if there was an assignment on an application of transfer learning.
创建者 Iman K
•Nov 20, 2017
best ML course. Hopefully we see more courses like this
. Maybe for specific problems or tools like tensorflow etc.
创建者 Hamza A
•Aug 22, 2017
If you learn how to improve your machine learning applications efficiently, I highly recommend this course for you.
创建者 claudia i r m
•Aug 27, 2022
A wonderful learning experience with great pedagogy and incredible concepts, applied through the labs and quizzes.
创建者 kleber l
•Feb 15, 2021
This course although isn't code, it is useful, because, now I can guide my project towards a better path directed.
创建者 Matthew N
•Feb 10, 2021
Andrew Ng is an awesome instructor on a very complex topic such as optimization and assessing models' performance.
创建者 B V S A
•Aug 13, 2020
This is the most practical and well explained course on Deep learning implementation that I have ever come across.
创建者 Dawood I
•Jun 9, 2020
Absolutely brilliant. What people learn after working on deep learning for years, Andrew taught us in this course.
创建者 Manmohan K
•Jun 5, 2020
Gained good insight into the practical aspects of DL through this course and how to go about doing Error Analysis.
创建者 Lakshya J
•Jun 2, 2020
Very practical and insightful course. I am sure these concepts will really help me when building my own ML systems
创建者 Taiki O
•May 3, 2020
That was clear! However, some videos was ill-paced or I guess there was something wrong with the speed of videos.
创建者 Hind A b
•Mar 7, 2020
very sightful course, i learned how to work on machine learning projects and how to analyse errors in development.
创建者 Renato L R
•Jan 9, 2020
Very useful training that provides additional insights for a better plan and result's analysis of your ML projects
创建者 Igor _
•Sep 12, 2019
This was the most useful course from the first three courses in this specialty; looking forward what will be next
创建者 Rongyao W
•Aug 18, 2019
Great hands on experience with deep learning. It surely help a lot for building insight what deep learning can do.
创建者 Jason D
•Aug 10, 2019
Good course to build up your knowledge on how to go about structuring machine learning projects in the real world.
创建者 Hiren K
•Jul 29, 2019
Very interesting and informative course. Professor Ng was quite good at teaching complex phenomena in an easy way.
创建者 Jonathan M
•Jul 25, 2019
Great course that shows you many different concepts and how you can approach different problems you may encounter.
创建者 Paul H C
•Oct 8, 2018
This is so useful!!! I know now what to do when I blocked: keep iterating: start quickly and iterate until success
创建者 David B
•Sep 9, 2018
Invaluable if you are implementing a project, which is, I guess, what we must do to fully understand the concepts.
创建者 Leon G
•Jun 30, 2018
Abundant practical, industrial-level advice on ML projects and their improvements. Awesome course, awesome Andrew.
创建者 Rodolfo C
•Apr 7, 2018
Good review of the machine learning mentality and how things can be simplified when using this kind of strategies.