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《Deep Learning》读书笔记
Category
2017
05-09
第二十章:Deep Generative Models
05-09
第十九章:Approximate Inference
05-09
第十八章:Confronting the Partition Function
05-09
第十七章:Monte Carlo Methods
05-09
第十六章:Structured Probabilistic Models for Deep Learning
05-09
第十五章:Representation Learning
05-09
第十四章:Autoencoders
05-09
第十三章:Linear Factor Models
05-09
第十二章:Application
05-09
第十一章:Practical Methodology
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