What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space.
Shihao ZhaoXingjun MaYisen WangJames BaileyBo LiYu-Gang JiangPublished in: CoRR (2021)
Keyphrases
- image processing
- input space
- input patterns
- class labels
- output space
- kernel function
- hyperplane
- feature space
- dimensionality reduction
- high dimensional
- input data
- smooth functions
- high dimensional data
- high dimensional feature space
- training set
- low dimensional
- support vectors
- efficient learning
- receptive fields
- k nearest neighbor
- data points
- pairwise
- knn
- image data
- pattern languages
- input pattern
- machine learning
- linearly separable
- generative model
- neural network
- data mining