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

4.9
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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：

5101 - Convolutional Neural Networks 的 5125 个评论（共 5,640 个）

创建者 Vishwanath N

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Apr 22, 2020

Advanced and intense concepts. Great course to develop hard skills!

创建者 Adrian H

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Mar 26, 2020

Let down by a bit of video edit or lack of but another good course.

创建者 Ranjan D

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Aug 2, 2019

Great course for getting more inside of different CNN architectures

创建者 Djibril N

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Oct 28, 2018

More challenging assignments needed for more learning opportunities

创建者 Haoran S

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Mar 2, 2018

very good course, though confused by the grading of the assignments

创建者 Joel G

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Feb 15, 2018

Great material, but some confusion on the last programming exercise

创建者 Ben B

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Feb 6, 2018

Assignment grader needs to be updated. Great course, learned a lot.

创建者 Andrey S

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Dec 4, 2017

Great course! I give 4 instead of 5 because of the last assignment.

创建者 Dhanashree P

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May 4, 2018

Ability to train own network would improve the learning experience

创建者 Nemish K

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Dec 8, 2017

The duration of the course was less, which made it very fast paced

创建者 Clément R

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Jul 13, 2019

The course is very good. However some bugs remain in the notebook

创建者 Keith L

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Jul 16, 2018

great course although the auto-graders could use some updating...

创建者 Simon T

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Apr 23, 2021

The parts on face verification and recognition are really short.

创建者 Mohammed F S

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Sep 12, 2020

Needs to be updated with current version of Tensorflow and keras

创建者 Andrew N

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Aug 19, 2020

most of the tensorflow documentation link is not working anymore

创建者 Kartikey S

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Jun 16, 2021

The course was great overall. The assignments were easy though.

创建者 J D S

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Jul 12, 2020

Face recognition week was too short to understand key concepts.

创建者 Sandeep P

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Jun 14, 2020

Tough on programming side, but good videos. Learning was a fun!

创建者 Antoine V

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Sep 5, 2018

Very interesting, but the exercises should be more challenging.

创建者 E W

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Feb 11, 2018

One star less because the last homework notebook is very buggy.

创建者 Prabhat A

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Dec 28, 2017

Very insightful and interesting

Minor editing bugs in the videos

创建者 Taimoor D K

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Aug 29, 2019

Great course for those wanting to learns CNNs in a short time.

创建者 Kenneth L

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Jun 16, 2019

Some sentences get repeated twice maybe due to editing errors.

创建者 Michal M

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Feb 8, 2018

It is very algorithmic base missing some deeper understanding.

创建者 Duberney L R

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Jul 25, 2022

Deben mejorar las transcripciones y las presentaciones en pdf