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

4.9
42,572 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

SH

Aug 5, 2019

Great content in lectures! Automatic graders for programming assignments can be tricky, and set to old versions of tf sometimes, but answers to these issues are readily found in the discussion forums.

AM

May 5, 2019

A big thank you to Professor Andrew and his team for structuring this course and introducing the world of ConvNets to me. I found the video lectures easy to understand and the exercises intriguing.

筛选依据:

5476 - Convolutional Neural Networks 的 5500 个评论(共 5,646 个)

创建者 Tom B

Jul 24, 2018

programming assignments are of lower quality than previous sections of the course

创建者 Maysa M G d M

Apr 28, 2018

I would like to see the implementation from scratch, not only pre-trained things.

创建者 Ishan B

Jan 18, 2018

There were issues with the Coding Assignments. Lots of inconsistencies in grading

创建者 Hair P

Jun 24, 2020

This course is great, but it DEFINITELY needs to be updated to Tensorflow 2.0

创建者 Xiaohua Z

Jun 11, 2018

Terrible grading system waste u tons of time.The content itself is excellent.

创建者 Shabnam M V

Jul 31, 2020

The explanations of the first 3 courses were better and easier to understand

创建者 Alec G

Mar 2, 2019

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

创建者 Samuel C

Nov 26, 2017

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

创建者 Nele V S

Jan 4, 2021

a pity that part of the keras code in the practical exercises is outdated

创建者 Shivanand P

Mar 2, 2019

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

创建者 James W

Feb 13, 2019

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

创建者 김윤수

May 14, 2018

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

创建者 Alex K

Jun 6, 2019

Good content but the Coursera homework platform is severely broken.

创建者 Iván I M

Oct 26, 2019

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

创建者 Kshitij S

Oct 14, 2019

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

创建者 Himanshu A

Aug 23, 2018

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

创建者 Adriano C

Mar 27, 2020

There are many things to improve in the programming assignment

创建者 Nandhini K

Oct 14, 2025

Lab are not updating with grades kindly look into this issue

创建者 Dong Z

Apr 16, 2020

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

创建者 Alex M

Mar 4, 2020

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

创建者 Srijan G

Jan 4, 2020

The programming difficulty suddenly increased exponentially

创建者 Michał Ł

May 12, 2018

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

创建者 Yiyun Z

Jan 16, 2018

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

创建者 Jonathan B

Nov 25, 2019

Good content but assignment grading has lots of problems!

创建者 Andrea L G

Feb 4, 2021

Nice introduction. TensorFlow part can be improved a lot