Preparing Deep Belief Networks for Practical Tasks
碩士 === 國立中正大學 === 電機工程研究所 === 100 === Deep Belief Networks (DBNs) is a probabilistic generative models composed of multiple layers of stochastic, latent variables. multiple layers of stochastic, latent variables. The network can learn many layers of features on various type of data such as binary i...
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| Format: | Others |
| Language: | en_US |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/68415284452640040030 |