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学生对 DeepLearning.AI 提供的 Structuring Machine Learning Projects 的评价和反馈

4.8
50,128 个评分

课程概述

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....

热门审阅

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!

WG

Mar 18, 2019

Though it might not seem imminently useful, the course notes I've referred back to the most come from this class. This course is could be summarized as a machine learning master giving useful advice.

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5001 - Structuring Machine Learning Projects 的 5025 个评论(共 5,746 个)

创建者 Nick R

Jan 6, 2018

Informative, but theoretical. After 3 courses I'm looking to do some hands-on work of my own.

创建者 Bobby

Oct 24, 2017

Lecture was good but no programming assignment for this course. I took out one star for this.

创建者 Ramachandran C

Oct 12, 2019

Loved the practical guidance provided by Andrew Ng on large-scale machine learning projects.

创建者 Arthur J

Jul 20, 2019

It would be great to have some materials to be able to go back to once done with the course.

创建者 Kyle S

Oct 23, 2017

This is a great course. It will be an invaluable reference when tackling real-world problem.

创建者 Yang Z

Oct 20, 2017

Some videos don't end properly and instead give you a black screen to stare at for a minute.

创建者 Akhtar H

Feb 9, 2021

This is little bit tricky course. But main understanding comes when you solve case studies.

创建者 Neel K

Oct 19, 2020

It was better to include some more case studies. This was a better real-time understanding.

创建者 Michael L

Jun 10, 2020

Sometimes, the explanations/advices given were too lengthly and contained some repetitions.

创建者 Amielle D

Jul 24, 2019

There were some typos throughout the course, but the core topics were still discussed well.

创建者 Tariq A

Jan 11, 2019

A good quality course, would have loved to have some programming exercises to go with this.

创建者 Ankur K

Nov 13, 2017

It would have been a little better if some assignments were also provided with this course.

创建者 h_st

Aug 1, 2021

It was really nice. Maybe some more hints could be given. I missed my own programming ;-)

创建者 Rohini H

Jun 9, 2020

still with some more example & more simplest way to solve them .with simple basic examples

创建者 Martin B

Mar 17, 2018

Again, excellent, but proof reading of the test and proof-viewing of the videos is needed.

创建者 Sudeep K

Apr 7, 2020

It could be more detailed. More Code intense! However, the course was really informative.

创建者 Abhishek P

Sep 24, 2019

Initially a bit hard to understand but repeating the session helped to grasp the concepts

创建者 Pedro L A V

Feb 26, 2018

Good course, but there are too many small topics in each week and no hands-on assignment.

创建者 Blake C

Sep 20, 2017

Not quite sure, but there are some problems in exam. Hopely fix them as soon as possible.

创建者 Bharat M

Jul 24, 2020

A good theoretical course to help remember the nuances of how to structure a ML project.

创建者 Vikas C

Jun 20, 2019

It was a nice course, it can better if some demo codes are used as an example separately

创建者 Shuo W

Jan 3, 2018

Pro: useful practical suggestions;

Con: language used in quiz should be further polished.

创建者 Ridvan S

Oct 15, 2017

"Chillout course", but "test-by-real-cases" is very exiting and very fine idea. Strong 4

创建者 riad s

Sep 21, 2017

I wish there was some practice assignments related to the concepts learnt in this course

创建者 Vinay K

Feb 4, 2020

Info about the approach in applying DL/ML concepts to various scenarios were explained.