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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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42,550 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

JM

Sep 19, 2020

Excellent, solid insights into working of models as well as providing references to the original work. THe assignments give practical examples of models one might want to implement for their own use.

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：

5276 - Convolutional Neural Networks 的 5300 个评论（共 5,641 个）

创建者 A 6 W A

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Sep 22, 2020

great course

创建者 Steve d l C

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Aug 27, 2020

good course

创建者 Sahil M

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May 5, 2020

The Besttt.

创建者 ANKUR G

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Sep 14, 2019

informative

创建者 Sonia D

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Jan 30, 2019

Very Useful

创建者 Luca M B

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Aug 1, 2018

Quite nice.

创建者 AYOUB A I

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Sep 2, 2021

Thank you!

创建者 Rishi J

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Jul 25, 2020

Insightful

创建者 Yehang H

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Jan 2, 2018

Some error

创建者 Mohamed A M

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Oct 5, 2020

thank you

创建者 Yashwanth M

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Jul 16, 2019

Very Good

创建者 Dave L

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Jul 10, 2020

good job

创建者 PRASANNA V R

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Jun 30, 2020

Decent

创建者 Krishna P D C

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Mar 30, 2020

Thanks

创建者 Niranjan A

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Nov 25, 2017

Great

创建者 Hozoy

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Feb 22, 2022

good

创建者 Sumera H

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Sep 13, 2020

good

创建者 Isha J

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Apr 5, 2020

good

创建者 Subhash A

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Mar 26, 2020

good

创建者 VIGNESHKUMAR R

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Oct 23, 2019

good

创建者 Rahila T

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Oct 8, 2018

Good

创建者 naveen k

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Jul 16, 2018

good

创建者 Panchal S V

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Jun 28, 2018

Good

创建者 CARLOS G G

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Jul 24, 2018

g

创建者 Volodymyr M

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Apr 23, 2020

This is not an education in any way. Yes, Convolutional Neural Networks provides good overview of convolutional networks and technology behind it. I like the way Andrew Ng structured material and his way to explain some details. Unfortunately, as a common problem for all "Deep Learning Specialization", theoretical material only scratches the surface of the knowledge. There is nothing deep in terms of theory. You will have to spend quite a lot of time digging for information yourself if you plan to use course material for any practical task, or assignment. In order to get missing pieces, I got to go through whole Spring 2017 CS231n. It is fine if you have enough time to see two sets of videos, but I expected to get same quality of material here, on Coursera.

Another course issue is quizzes. I am puzzled what these quizzes are testing. Provided answers often assume tentatively more than one correct variant. Probability theory works against you - you may happen to select correct answers for some questions , but definitely, not all of them. In the same time, it is quite easy to derive correct variant from second try.

Course programming assignments are complete disaster. While I kind liked programming assignments from week 1 and 2, I felt like I wasted my time working on programming assignments from week 3 and 4. I expected programming assignment to guide me through some training of complex networks, give some practical insight, which I can use for real-life tasks, but it was not there.

There is a good introduction to TensorFlow, while Keras is not even touched. And many assignments of week 3 and 4 are using Keras. It is necessary to peek-up theory and practice regarding Keras elsewhere. After one get enough knowledge about Keras elsewhere - guess what - programming assignment becomes useless as education, because it is too trivial.

I really wanted to rate this course as Two-Stars, but video materials and programming assignments from week 1 and week 2 slightly improved my attitude.