说明: Recent research on deep convolutional neural networks (CNNs) has focused primarily on improving accuracy. For a given accuracy level, it is typically possible to identify multiple CNN architectures that achieve that accuracy level. With equivalent a <u014546828> 上传 | 大小:903kb
说明: We propose the Wasserstein Auto-Encoder (WAE)|a new algorithm for building a generative model of the data distribution. WAE minimizes a penalized form of the Wasserstein distance between the model distribution and the target distribution, which lead <u014546828> 上传 | 大小:5mb