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學生對 deeplearning.ai 提供的 Convolutional Neural Networks 的評價和反饋

4.9
40,451 個評分
5,359 條評論

課程概述

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....

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RS

2019年12月11日

Great Course Overall\n\nOne thing is that some videos are not edited properly so Andrew repeats the same thing, again and again, other than that great and simple explanation of such complicated tasks.

AR

2020年7月11日

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

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5176 - Convolutional Neural Networks 的 5200 個評論(共 5,335 個)

創建者 Tom B

2018年7月24日

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

創建者 Maysa M G d M

2018年4月28日

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

創建者 Ishan B

2018年1月18日

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

創建者 Hair P

2020年6月24日

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

創建者 Xiaohua Z

2018年6月11日

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

創建者 Shabnam M V

2020年7月31日

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

創建者 Alec G

2019年3月2日

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

創建者 Samuel C

2017年11月26日

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

創建者 Nele V S

2021年1月4日

a pity that part of the keras code in the practical exercises is outdated

創建者 Shivanand P

2019年3月2日

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

創建者 James W

2019年2月13日

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

創建者 김윤수

2018年5月14日

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

創建者 Alex K

2019年6月7日

Good content but the Coursera homework platform is severely broken.

創建者 Iván I

2019年10月26日

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

創建者 Kshitij S

2019年10月15日

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

創建者 Himanshu A

2018年8月23日

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

創建者 Adriano C

2020年3月27日

There are many things to improve in the programming assignment

創建者 Dong Z

2020年4月16日

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

創建者 Alex M

2020年3月4日

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

創建者 Srijan G

2020年1月4日

The programming difficulty suddenly increased exponentially

創建者 Michał Ł

2018年5月12日

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

創建者 Yiyun Z

2018年1月16日

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

創建者 Jonathan B

2019年11月25日

Good content but assignment grading has lots of problems!

創建者 Andrea L G

2021年2月4日

Nice introduction. TensorFlow part can be improved a lot

創建者 Shuo C

2020年12月19日

Great course but lots of bugs in assignments and videos.