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

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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：

5476 - Convolutional Neural Networks 的 5500 个评论（共 5,639 个）

创建者 Alec G

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Mar 2, 2019

The grader was frustrating on the programming assignments, especially week 4

创建者 Samuel C

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Nov 26, 2017

Class itself is great, but the buggy grader software should be fixed timely

创建者 Nele V S

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Jan 4, 2021

a pity that part of the keras code in the practical exercises is outdated

创建者 Shivanand P

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Mar 2, 2019

Grading process/grader need to be improved for Week 3 and 4 assiignments

创建者 James W

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Feb 13, 2019

Some of the coding assignments had major issues that need to be fixed.

创建者 김윤수

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May 14, 2018

need to teach us more about tensorflow to do last week's assignments

创建者 Alex K

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Jun 6, 2019

Good content but the Coursera homework platform is severely broken.

创建者 Iván I M

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Oct 26, 2019

The videos are not properly edited. Exercises are not very useful.

创建者 Kshitij S

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Oct 14, 2019

A bit difficult than prior courses. Still, enjoyed learning. :)

创建者 Himanshu A

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Aug 23, 2018

The convolution operator seemed a bit abrupt in the first week.

创建者 Adriano C

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Mar 27, 2020

There are many things to improve in the programming assignment

创建者 Dong Z

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Apr 16, 2020

Not very clear, still need to learn a lot to understand CNN.

创建者 Alex M

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Mar 4, 2020

The FaceNet assignment is bugged as hell! Please fix it ASAP

创建者 Srijan G

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Jan 4, 2020

The programming difficulty suddenly increased exponentially

创建者 Michał Ł

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May 12, 2018

Very nice course, but grader issues kill all the pleasure.

创建者 Yiyun Z

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Jan 16, 2018

The the Yolo assignment, the IOU part has grading problem!

创建者 Jonathan B

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Nov 25, 2019

Good content but assignment grading has lots of problems!

创建者 Andrea L G

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Feb 4, 2021

Nice introduction. TensorFlow part can be improved a lot

创建者 Shuo C

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Dec 18, 2020

Great course but lots of bugs in assignments and videos.

创建者 aman g

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Aug 19, 2020

Programing assignments were more life fill in the blanks

创建者 Xin H

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Nov 10, 2019

Some of the details are not very good just like yolo.

创建者 André T D S

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Oct 1, 2018

Bugs in the programming assignments kills the flow.

创建者 STEFANO F P

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Oct 1, 2019

Too easy excercises and with an old version of tf

创建者 Hao Z

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Dec 17, 2017

I hate the errors in the assignments and graders

创建者 Gleb F

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Jan 9, 2021

Too much emphasis on python programming skills.