Chevron Left
返回到 Convolutional Neural Networks

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

4.9
42,556 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.

FH

Jan 11, 2019

Amazing! Feels like AI is getting tamed in my hands. Course lectures , assignments are excellent. To those who are not well versed with python - numpy and tensorflow , it would be better to brush up.

筛选依据:

1351 - Convolutional Neural Networks 的 1375 个评论(共 5,641 个)

创建者 will l

Aug 13, 2019

although some theory is still confused, but andrew give me a great intuition and now i can find a deep way by myself

创建者 Dani V

Jun 23, 2019

The course material is excellent. The professor explains perfectly. The value of the information delivered is great.

创建者 Huanglei P

Jul 19, 2018

Very attractive course. It gives me deeper insights of processing image recognition by convolution nearual networks.

创建者 Tom Z

Apr 12, 2018

Such a good course! I couldn't imagine how people invented these great ideas about CNN, those models are astounding!

创建者 karan m

Jan 6, 2018

Explains the things in very good intuitive way and also introduces to basic maths so as to understand things better.

创建者 PRASHANT K R

Jan 1, 2018

An effective course with enriched type of materials. thanks to prof. Ng and his team for creating this great course.

创建者 承聪

Dec 12, 2017

it is very practical and I can learn some state-of-art techniques of CNN. and you can have a solid knowledge of CNN.

创建者 Checco W

Dec 11, 2017

Although the last assignment there is something wrong, but the course is wonderful.

Thanks so much for offering this.

创建者 ALİ T

Oct 30, 2020

It is the another brick on the wall. They gave me a lot of skin and perspective. Thank you deeplearning.ai family!!

创建者 Prem S

May 15, 2020

Very good course. Andrew makes it easy to understand the complex concepts. And his practical insights are pricelss.

创建者 Shankar M

May 15, 2020

Some code-along videos could be added to know the thought process of experts like Andrew!

This course was Excellent!

创建者 claus

Apr 29, 2020

Very intense course which I think gives a good knowledge about how to implement many image and speech applications.

创建者 ongole s s

Apr 13, 2020

I had a great way of learning computer vision from basics to in-depth knowledge through coursera.Thank you so much

创建者 Masoomeh G

Jan 12, 2020

I found the course very interesting in terms of giving ideas on the available CNN methods and giving some hands on.

创建者 ABHISHEK K

Jun 24, 2019

This was very deep and more eye opening course where I had to go through yolo, resnet and keras. Much recommeneded.

创建者 罗炜儒

Dec 6, 2018

讲解卷积神经网络的知识详尽而到位,课后练习能较好的巩固课上所学习的知识,尤其是最后的人脸识别和风格转换作业十分有趣!美中不足的地方在于YOLO算法的课后作业并没有帮助我更好的理解该算法,以致于我现在还对物体识别之类的算法一知半解。

创建者 Siddharth S

Nov 7, 2018

Excellent course. Would become perfect if the assignments were more free and less code was already written in them.

创建者 Tushar D

Sep 16, 2018

After completing this course, I have been able to visualize how convolution network work and it helps a great deal.

创建者 Anton V

Sep 1, 2018

A really good intro to CNNs, gives all the tools and insights that allows you to start working on your own project.

创建者 Rama K P

Jun 26, 2018

Outstanding content deliverance and also covered all the nuances of Deep Learning and CNN's. Thank you Andrew Ng...

创建者 Tamás M

Apr 20, 2018

Amazing course, the concepts and architectures have been explained clearly and the programming assignments are fun!

创建者 Benji T

Feb 27, 2018

I really learn a lot. The content of the 4th course is quite heavy. I might need to go though more in details again

创建者 Showing J

Jan 22, 2018

Very nice class, with interesting topics and detailed explanation and assignments. Thanks for providing this class!

创建者 barry

Apr 28, 2023

Awesome, got to know a lot about computer vision and deep understanding of some popular models inside functioning.

创建者 Mikko S

Apr 23, 2021

Excellent and very informative course! I can recommend this course to anyone who is interested in computer vision!