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

4.9
42,574 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

NK

Jul 10, 2024

Fabulously designed, I could confidently say that the programming exercise is sufficiently sophisticated, and yet managed to be not so difficult as to deter new learners. All in all a great course!

AV

Jul 11, 2020

I really enjoyed this course, it would be awesome to see al least one training example using GPU (maybe in Google Colab since not everyone owns one) so we could train the deepest networks from scratch

筛选依据:

1951 - Convolutional Neural Networks 的 1975 个评论(共 5,646 个)

创建者 Mina H

Oct 17, 2020

Such a great course. Thanks to all the people who are trying hard in Coursera.

创建者 Abhishek S

Oct 16, 2020

Exceptionally well designed course, with an amazing teacher and great content!

创建者 Yaolin G

Apr 9, 2020

Super useful and easy to understand, very fruitful and rewarding. Thanks a lot

创建者 Andrey A

Apr 8, 2020

One of the greatest introduction courses about computer vision. Thank's a lot!

创建者 Andrew C

Feb 24, 2020

As usual, Professor Andrew can always offer excellent instructions. Thank you!

创建者 gayatri l

Jan 30, 2020

Best experience.Broder my views and thinking.Happy to go in deeper and deeper.

创建者 Risheeka S

Nov 22, 2019

A very important course if you want to begin solving computer vision problems.

创建者 Chien D

Sep 7, 2019

This is a very well explained course. I cam earn a lot of practical knowledge.

创建者 Mashrur M

May 21, 2019

Really gives you a lot of things to think about and work on. Excellent course.

创建者 Xuecong L

May 8, 2019

Very informative, with good practice assignments! The interview part is great!

创建者 Andrei K

Jan 25, 2019

I improved my knowledge in CNN, so I learned new CNN architectures. Thank you!

创建者 David B

Jun 4, 2018

Great topic and easy to follow and then reproduce on your own. A great course!

创建者 David H

May 9, 2018

The most exciting of the four courses so far, now looking forward to course 5.

创建者 maluge p

Apr 10, 2018

Its a well organized course and the knowledge obtained from it is exceptional.

创建者 steven c

Apr 4, 2018

The details of RCNN, fast RCNN, faster RCNN might be one session of the course

创建者 Hiroko O

Mar 11, 2018

Thank you for the amazing lecture!

I really enjoyed the interesting assignment.

创建者 JohnKyens

Dec 23, 2017

The instructors are great!Very GOOD teaching to tell you complex DL technology

创建者 Greta B

Nov 17, 2017

I liked all the learning material and assignments as well. Very helpful course

创建者 Siri K

Oct 6, 2023

Best Course to ever exist on the internet on Convolutional Neural Networks!!!

创建者 kaleem u

Feb 11, 2023

Best content delivered in an easy and interactive way by Professor Andrew Ng.

创建者 Linh P

Oct 2, 2022

Excellent Course. The material covers a lot of grounds on understanding CNN.

创建者 Rustam F

Jan 30, 2022

Very practical, explanations are very intuitive and clear, exercises are cool

创建者 Lihong Z

Aug 12, 2020

Very detailed and clear explanation, and perfect designed hands-on practises.

创建者 Christian G H

May 25, 2020

Very good. Being able to understand and use state of the art models is great.

创建者 Jaap d V

Apr 1, 2020

This one was harder but a lot of fun, I liked doing the neural style transfer