BriefGPT.xyz
Jan, 2016
像素递归神经网络
Pixel Recurrent Neural Networks
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Aaron van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu
TL;DR
本文介绍了一种深度神经网络模型，用于在两个空间维度上序列预测图像像素；该模型对图像的离散概率进行建模，并在深层循环网络中使用了快速的二维循环层和残差连接，实现了比以前的最新技术更好的自然图像日志似然度分数。
Abstract
Modeling the distribution of natural images is a landmark problem in
unsupervised learning
. This task requires an
image model
that is at once expressive, tractable and scalable. We present a
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