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CIL7 Generative Models CIL7 Generative Models
Generative Models generate what? according to given data, generate new data like them. methods? variational autoencode
2019-07-18
CIL6 Neural Network CIL6 Neural Network
Composition layer neurons/units input weight activation function output $x^{(l)}=\sigma^{(l)}(W^{(l)}x^{(l-1)})$​ n
2019-07-17
CN5 Generating function CN5 Generating function
Aims make statements about the properties of a network if we only know the degree distribution properties of generating
2019-07-17
CN4 Small-world networks CN4 Small-world networks
Aims learn what is the small-world network: small diameter and large clustering coefficient. learn how to generate such
2019-07-16
CIL5 Data Clustering CIL5 Data Clustering
Vector Quantizationassign vectors to some groups, denoted by the centroids. Methods: K-means, Mixture Model. K-Means $k$
2019-07-15
CN3 Ensemble perspective CN3 Ensemble perspective
Aims: graph theory: micro-/macro perspective ensemble perspective random graph models empirical examples Questions For
2019-07-12
CN2 Network Essentials CN2 Network Essentials
Basic Knowledge of networkQuestions Define the average shortest path length of a network the sum of the shortest path be
2019-07-11
CIL4 Word Embeddings CIL4 Word Embeddings
MotivationUsing vector as the symbol to represent words, which can capture their meaning in some way. the advantage of
2019-07-10
CN1 Introduction to Complex Network CN1 Introduction to Complex Network
MotivationObjectives network perspective on complex systems examples for complex networks Questions what does the com
2019-07-09
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