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Convolutional Neural Networks, deeplearning.ai

4.9
(21,074 个评分)

课程信息

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. You will: - Understand how to build a convolutional neural network, including recent variations such as residual networks. - Know how to apply convolutional networks to visual detection and recognition tasks. - Know to use neural style transfer to generate art. - Be able to apply these algorithms to a variety of image, video, and other 2D or 3D data. This is the fourth course of the Deep Learning Specialization....

热门审阅

创建者 AG

Jan 13, 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.

创建者 EB

Nov 03, 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.

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2,558 个审阅

创建者 CHIRAG JAIN

May 19, 2019

Very nicely explaimed

创建者 Zebin Chen

May 18, 2019

This course gives me a more intuitive understanding of the principles of CNN. I have mastered and implemented many classic CNN structures through the four-week course.

创建者 jamescxchen

May 18, 2019

good

创建者 Yisake Tadsse

May 18, 2019

The best place to learn CNNs

创建者 XINQI

May 18, 2019

Please do not use too strict rules to check the assignment, I.e. IOU Func, it's a waste of time to debug.

创建者 Stephen Van Kooten

May 17, 2019

The course does an very good job of explaining the concepts behind different types of neural networks, but the homework assignments pretty much only test these concepts. Students should not expect to gain any significant experience coding neural networks in keras/tensorflow.

创建者 Agustinus Agri Ardyan

May 17, 2019

Prof. Andrew Ng, along with the team, successfully deliver advanced level course that is thorough, yet easy to understand.

创建者 Abe Kang

May 16, 2019

Another winner. Prof Andrew Ng does it again.

创建者 Jun Wu

May 16, 2019

This course shows me some state of the art convolutional neural network models. Cool and interesting!

创建者 AlexanderLiu

May 16, 2019

Impressive courses!