Neural Networks for Machine Learning

开始时间: 04/22/2022 持续时间: 8 weeks

所在平台: CourseraArchive

课程类别: 计算机科学

大学或机构: University of Toronto（多伦多大学）

授课老师： Geoffrey Hinton

课程主页: https://www.coursera.org/course/neuralnets

课程评论: 5 个评论

评论课程关注课程

课程详情

Neural networks use learning algorithms that are inspired by our understanding of how the brain learns, but they are evaluated by how well they work for practical applications such as speech recognition, object recognition, image retrieval and the ability to recommend products that a user will like. As computers become more powerful, Neural Networks are gradually taking over from simpler Machine Learning methods. They are already at the heart of a new generation of speech recognition devices and they are beginning to outperform earlier systems for recognizing objects in images. The course will explain the new learning procedures that are responsible for these advances, including effective new proceduresr for learning multiple layers of non-linear features, and give you the skills and understanding required to apply these procedures in many other domains.

This YouTube video gives examples of the kind of material that will be in the course, but the course will present this material at a much gentler rate and with more examples.

课程评论(5条)

0	侯爵囚禁在贵大 2014-09-03 08:34 0 票支持; 0 票反对深度学习是不是已经没有开课了额

0	风行者之123456 2013-09-23 15:32 0 票支持; 0 票反对为什么不能看呢？

3	godenlove007 2013-06-09 10:49 3 票支持; 0 票反对宗派大师+开拓者直接讲课，秒杀一切二流子！

0	wzyer 2013-05-17 09:26 0 票支持; 0 票反对巨牛级别的人物来开课，我也不说啥了。

5	yongsun 2013-05-13 13:00 5 票支持; 0 票反对还有什么好说的呢？Deep Learning必修课程啊！

课程简介

Learn about artificial neural networks and how they're being used for machine learning, as applied to speech and object recognition, image segmentation, modeling language and human motion, etc. We'll emphasize both the basic algorithms and the practical tricks needed to get them to work well.