This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images.
提供方
课程信息
926,173 次近期查看
学生职业成果
36%
完成这些课程后已开始新的职业生涯
37%
通过此课程获得实实在在的工作福利
12%
加薪或升职
您将获得的技能
Facial Recognition SystemTensorflowConvolutional Neural NetworkArtificial Neural Network
学生职业成果
36%
完成这些课程后已开始新的职业生涯
37%
通过此课程获得实实在在的工作福利
12%
加薪或升职
100% 在线
立即开始，按照自己的计划学习。
第 4 门课程（共 5 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
中级
完成时间大约为21 小时
建议：4 weeks of study, 4-5 hours/week
英语（English）
字幕：中文（繁体）, 中文（简体）, 韩语, 土耳其语（Turkish）, 英语（English）, 西班牙语（Spanish）, 日语
提供方
deeplearning.ai
deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders.
教学大纲 - 您将从这门课程中学到什么
完成时间为 6 小时
Foundations of Convolutional Neural Networks
Learn to implement the foundational layers of CNNs (pooling, convolutions) and to stack them properly in a deep network to solve multi-class image classification problems.
完成时间为 6 小时
12 个视频 （总计 140 分钟）, 4 个阅读材料, 3 个测验
12 个视频
Edge Detection Example11分钟
More Edge Detection7分钟
Padding9分钟
Strided Convolutions9分钟
Convolutions Over Volume10分钟
One Layer of a Convolutional Network16分钟
Simple Convolutional Network Example8分钟
Pooling Layers10分钟
CNN Example12分钟
Why Convolutions?9分钟
Yann LeCun Interview27分钟
4 个阅读材料
Strided convolutions *CORRECTION*1分钟
Simple Convolutional Network Example *CORRECTION*1分钟
CNN Example *CORRECTION*1分钟
Why Convolutions? *CORRECTION*1分钟
1 个练习
The basics of ConvNets30分钟
完成时间为 5 小时
Deep convolutional models: case studies
Learn about the practical tricks and methods used in deep CNNs straight from the research papers.
完成时间为 5 小时
11 个视频 （总计 99 分钟）, 1 个阅读材料, 2 个测验
11 个视频
Classic Networks18分钟
ResNets7分钟
Why ResNets Work9分钟
Networks in Networks and 1x1 Convolutions6分钟
Inception Network Motivation10分钟
Inception Network8分钟
Using Open-Source Implementation4分钟
Transfer Learning8分钟
Data Augmentation9分钟
State of Computer Vision12分钟
1 个阅读材料
Inception Network Motivation *CORRECTION*1分钟
1 个练习
Deep convolutional models30分钟
完成时间为 4 小时
Object detection
Learn how to apply your knowledge of CNNs to one of the toughest but hottest field of computer vision: Object detection.
完成时间为 4 小时
10 个视频 （总计 85 分钟）, 2 个阅读材料, 2 个测验
10 个视频
Landmark Detection5分钟
Object Detection5分钟
Convolutional Implementation of Sliding Windows11分钟
Bounding Box Predictions14分钟
Intersection Over Union4分钟
Non-max Suppression8分钟
Anchor Boxes9分钟
YOLO Algorithm7分钟
(Optional) Region Proposals6分钟
2 个阅读材料
Convolutional Implementation of Sliding Windows *CORRECTION*1分钟
YOLO algorithm *CORRECTION*1分钟
1 个练习
Detection algorithms30分钟
完成时间为 5 小时
Special applications: Face recognition & Neural style transfer
Discover how CNNs can be applied to multiple fields, including art generation and face recognition. Implement your own algorithm to generate art and recognize faces!
完成时间为 5 小时
11 个视频 （总计 76 分钟）, 3 个阅读材料, 3 个测验
11 个视频
One Shot Learning4分钟
Siamese Network4分钟
Triplet Loss15分钟
Face Verification and Binary Classification6分钟
What is neural style transfer?2分钟
What are deep ConvNets learning?7分钟
Cost Function3分钟
Content Cost Function3分钟
Style Cost Function13分钟
1D and 3D Generalizations9分钟
3 个阅读材料
Triplet Loss *CORRECTION*1分钟
Face Verification and Binary Classification *CORRECTION*1分钟
Style Cost *CORRECTION*1分钟
1 个练习
Special applications: Face recognition & Neural style transfer30分钟
审阅
4.9
来自CONVOLUTIONAL NEURAL NETWORKS的热门评论
由 RS 提供Dec 11, 2019
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.
由 SH 提供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.
由 RK 提供Sep 1, 2019
This is very intensive and wonderful course on CNN. No other course in the MOOC world can be compared to this course's capability of simplifying complex concepts and visualizing them to get intuition.
由 AG 提供Jan 12, 2019
Great course for kickoff into the world of CNN's. Gives a nice overview of existing architectures and certain applications of CNN's as well as giving some solid background in how they work internally.
由 EB 提供Nov 2, 2017
Wonderful course. Covers a wide array of immediately appealing subjects: from object detection to face recognition to neural style transfer, intuitively motivate relevant models like YOLO and ResNet.
由 FH 提供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.
由 DG 提供Feb 13, 2018
Too much hand-holding during assignments, although still very good directions. Obviously the issue with the final programming assignment needs to be addressed. Fantastic lecture material, as always.
由 DM 提供Apr 21, 2019
This is one of the best courses for CNNs. This gives a very deep understanding of the concepts and helps to understand the brains behind the CNNs and their working in application based environments.
关于 深度学习 专项课程
If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning.
In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.
You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice.
AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work.
We will help you master Deep Learning, understand how to apply it, and build a career in AI.
常见问题
我什么时候能够访问课程视频和作业？
注册以便获得证书后，您将有权访问所有视频、测验和编程作业（如果适用）。只有在您的班次开课之后，才可以提交和审阅同学互评作业。如果您选择在不购买的情况下浏览课程，可能无法访问某些作业。
我订阅此专项课程后会得到什么？
您注册课程后，将有权访问专项课程中的所有课程，并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中，您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容，可以免费旁听课程。
退款政策是如何规定的？
有助学金吗？
还有其他问题吗？请访问 学生帮助中心。