last day night I was in SZ university with my girlfriend in a office, and there are some research about computer vision & machine, I guy is running a program witch it's classification some different pattern using SVM and K-Means algorithm, so we have a talk about some method which is useful in classification. then he told me a new sub-branch of machine learning called deep learning. and then I search on google and wiki. here is some brief introduction:
Deep Learning is about learning multiple levels of representation and abstraction that help to make sense of data such as images, sound, and text. For more about deep learning algorithms
and in addition there have a link to introduce the architecture http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf
I will review this topic in the future and give a report on my blog
本文探讨了深度学习的概念及其在处理图像、声音和文本等复杂数据上的优势。深入介绍了深度学习算法,如SVM、K-means及神经网络,并与传统机器学习方法进行对比。文章特别关注了深度学习中的新分支——深度神经网络,并提供了相关资源供读者进一步研究。
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