zanghu/MyDNNCodes
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本文件夹内的是最近半年编写的模型中,整理出的比较有代表性的几个 其中包括: RSM(Replicated Softmax RMB) Gaussian-Binary RBM Conv-RBM, 按照Honglak Lee ICML2009的Paper做的实现,主要特点是实现了概率max-pooling AutoEncoders & Denoised AE Correspondence AE (自己设计的一种针对双模态数据的双通道AE模型) Conv-Corre-AE (加入前馈卷积网络的Corre-AE,性能目前正在测试中) 以上所有模型均以LISA-Lab的Pylearn2框架实现为主,目的在于便于实现GPU加速; 部分模型有纯numpy版本代码,主要用于某些情况下的对比实验和debug.
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