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学生对 DeepLearning.AI 提供的 Convolutional Neural Networks 的评价和反馈

4.9
42,527 个评分

课程概述

In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved and become familiar with its exciting applications such as autonomous driving, face recognition, reading radiology images, and more. By the end, you will be able to build a convolutional neural network, including recent variations such as residual networks; apply convolutional networks to visual detection and recognition tasks; and use neural style transfer to generate art and apply these algorithms to a variety of image, video, and other 2D or 3D data. 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

FT

Apr 6, 2021

Very good introduction to programming convolutional neural networks. Although the models and functions needed are complicated ,this course takes you by the hand and introduces to all these wild ideas

AG

Jan 12, 2019

Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.

筛选依据:

4851 - Convolutional Neural Networks 的 4875 个评论(共 5,640 个)

创建者 Suchitha L D

May 26, 2020

Good content but the labs should be upgraded to Tensorflow 2. Some quiz questions are bit vague and feedback isn't helpful to understand mistakes

创建者 mahdichalaki

May 26, 2020

Some videos are not carefully edited and there the teacher repeats some sentences.

But overall, the materials and of course Andrew Ng are perfect.

创建者 Arturo M

Aug 29, 2018

Assignments are not always consolidating acquired knowlegde, due to the distance between implementation from scratch and using predefined models.

创建者 Michalis F

Feb 16, 2018

Very nice course.

assignments are very high level though and just help in giving a taste of convolutional neural networks.

lecture notes are great

创建者 Roberto J

Nov 21, 2017

A bit buggy some of the exercises, some of the videos and some of the course notes, but the material is excellent and the learning is invaluable.

创建者 Galley D

Dec 2, 2017

Amazing course that breaks down the complexity of CNN

Some assignment have issues yet the forum displays significant resources to help solve them

创建者 Kostas C

Aug 28, 2020

Some key points for not giving 5 stars (lack of questions during lecture, assignments too easy). But, as always Andrew is an excellent teacher!

创建者 Akshay K

Oct 30, 2019

The course is complex, it must teach more examples of coding and practice overall the content of this course requires very high level practice.

创建者 Mike B

Mar 26, 2018

I really like the videos, and the content covered. It would be nice if the large blocks of videos were separated by some programming exercises.

创建者 zlb

Jan 12, 2018

The coding assignment is a little hard for people who don't know much about tensorflow and keras. But on the whole, this is a brilliant course.

创建者 Andrey Z

Dec 3, 2017

There is a great course for many people to begin working with the such an enigmatic stuff as cnn! Thank you very much for creating this course!

创建者 Dr V R P

Nov 10, 2019

Wonderful and well-structured course! Following instructions on jupyter notebook is confusing, had to go back and forth to do the assignments.

创建者 Bourget R

Oct 28, 2018

Grading assignments troubles are annoying especially after such a good teaching it is really frustrating. nevertheless it's an amazing course!

创建者 Bas

Dec 30, 2017

Interesting course, but the assignments were sometimes disappointing. There were bugs/issues, and it wasn't very clear how to deal with these.

创建者 Henry L

Jun 15, 2020

The coverage of the material is excellent. The only downside is that there is little support for the exercises and can be quite frustrating.

创建者 XL Y

Dec 12, 2019

I think perhaps you can add more detailed explaination on Fast R-CNN and so on. Also, I think the homework can be updated to Tensorflow 2.0.

创建者 Kareem S

Sep 21, 2023

the labs need to be little bit better with more code to write and better explaination in the later courses because i am still struggling :(

创建者 Manan A S

Mar 19, 2020

Andrew could have explained a few concepts in depth overall a great course though giving an overview of CNN's & deep learning architectures

创建者 Thomas A

Oct 3, 2019

Pretty good course, holds a lot of relevant information.

Though the going into every little detail of doing a convolution is a bit overkill.

创建者 APOORV S

Mar 17, 2019

I think Keras should have been used more in assignments. Overall the concepts are illustrated in the videos perfectly as well as precisely.

创建者 Ethan M

Aug 18, 2021

Instructions were clear and videos were well thought out. 4 stars because I had to reference the Documentation for Tensorflow consistently

创建者 Priyansh J

Jan 19, 2020

this course had all the practice exercises and todo assignments with proper lectures and examples to understand even such complex problems

创建者 Kai W

Dec 31, 2017

course is good, homework has bug in week4's homework, meeting expected output is graded wrong, changing to different output got correct.

创建者 Rafał W

Nov 22, 2017

Errors in grading procedure. In many lecture videos you hear that they are consist of many recordings that do not compose one whole thing.