convLSTM_movingMNIST-源码
convLSTM_movingMNIST
使用convLSTM单元从移动的MNIST数据集中预测帧。 有两种模型：
单步模型
编码器结构。 接收19个移动的MNIST帧和attemts的序列以输出第20帧
多步模型
编码器-解码器结构。 接收10到19个移动MNIST帧（每个批次随机选择的序列长度）的序列，并尝试输出其余帧。 在训练过程中，使用单步模型的权重初始化编码器（当从头开始训练时，模型不会收敛）。
指示
需要Tensorflow v1.4或更高版本（如果要训练多步模型，则可能需要GPU）
克隆存储库
git clone https://github.com/Linusnie/convLSTM_movingMNIST.git
cd convLSTM_movingMNIST
下载移动的mnist数据集：
wget http://www.cs.toronto.edu/~niti
文件下载
资源详情
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