Pixel Recurrent Neural Networks 和 autoregressive models 自回归模型
Pixel Recurrent Neural Networks pixel rnn 是 生成模型的一种，基于autoregressive models。他的思想很简单，就是最大似然估计的方式去拟合图像数据。将二维的图像数据比作序列数据，以条件概率的方式，逐点预测和计算。并且每个像素点的预测都在[0-255]之间，（单通道情况下）如下图1所示： 图1，autoregressive models 在二
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相关文章
- 1. 【生成模型】Pixel Recurrent Neural Networks翻译
- 2. 生成模型之Pixel Recurrent Neural Networks
- 3. Sequence Models(Week1)---Recurrent Neural Networks
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