Chevron Left
返回到 Convolutional Neural Networks

Convolutional Neural Networks,

19,481 个评分
2,448 个审阅


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....


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.


2,420 个审阅

创建者 Alejandro

Mar 26, 2019

Excelent course given by a Deep learning Guru

创建者 Seewoo Lee

Mar 26, 2019

I really enjoyed applying the assignments to my own pictures.

创建者 Joaquin Terrasa

Mar 25, 2019

Superb course on CNN by Andrew Ng. Video lectures can be daunting at some points, mostly because of its dense theoretical content, though it provides a great background on how to start working with CNNs.

创建者 Vitalii Shevchuk

Mar 24, 2019


创建者 Bence Keresztury

Mar 24, 2019

I love Andrew Ng's humbleness and teaching style

创建者 Prajwal S Nayak

Mar 24, 2019

Outstanding programming assignments. Well guided code. Concise lectures. Worth the time spent.

创建者 Mohanad Qusay Atta Abu-Naula

Mar 24, 2019


创建者 jason zhang

Mar 24, 2019

Very good topic.

Lesson 3 and lesson 4 can be improved or separate into new course with more depth.

创建者 Koki Saito

Mar 24, 2019

please fix the following problem

week 4 Programming Assignments

Face Recognition for the Happy House - v3

Unable to load FaceNet

Can't load weights - deleting them is not solving the problem

创建者 David Kawashima

Mar 24, 2019

Great, but some aspect such as Neural Style Transfer are not quite as applicable in the real world.