Deep generative Model:Learning by featured knowledge
碩士 === 國立臺北科技大學 === 資訊與財金管理系 === 106 === In the past, after an image is transformed into a matrix, a deep generative network will take each element in the matrix as input to train itself. For example: Using an auto-encoder as a generative model, a vector output which is produced by the encoder netwo...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/nxabnf |