Bigdata and Deep Learning Lecture points(1)
2015-07-31 11:32
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Li Deng from Microsoft Research,gaven the lecture at Peking University at July 11-12,2015.
Link:普适计算与大数据
Basics
What is Deep Learninghttps://en.wikipedia.org/wiki/Deep_learning
Deep learninlg is a branch of Machine Learning based on a set of** algorithms** that attempt to model high-level abstractions in data by using model architectures,wich complex structures or otherwise,composed of multiple non-linear transformations.
Review of Deep Learning Basics
Deep Learning(aka Deep Structured Learning,Hierarchical Learning)
Deep belief nets(DBN)
Boltzman machine(BM)
Restricted Boltzman machine(RBM)
Deep neural nets(DNN)
Deep auto-coder
Distributed representation
Distributed Representation
A representation of the observed data in such a way that they are modeled as being generated by the interactions of many hidden factors. A particular factor learned from configurations of other factors can often generalize well. Distributed representations form the basis of deep learning.
More on “Deep Learning”
Four Definition
Definition1:
A class of machine learning techniques that exploit many layers of non-linear information processing for supervised or unsupervised feature extraction and transformation,and for pattern analysis and classification.
Definition2:
A sub-field within machine learning that is based on algorithms for learning multiple levels o representation in order to model complex relation ships among data.
Definition3:
A sub-field of machine learning that is based on learning several levels of representations,corresponding to a hierarchy of features or factors or concepts,where higher-level concepts are defined from lower-level ones,and the same lower-level concepts can help to define many higher-level concepts.
See http://en.wikipedia.org/wiki/Deep_learning.
Definition4:
Deep Learning is about learning multiple levels of representation and abstraction that help to make sense of data such as images,sound,and text.
See https://github.com/lisa-lab/DeepLearningTutorials
Highlight of Deep Learning in the Era of Big Data
Deep Learing vs.Machince Learning
Recipe for(Supervised) Machine Learning with Big Data
Impact of Deep learning in Speech technology
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