开课单位--视频讲座网

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Lecture 11: Approximating Probability Distributions (I): Clustering As An Example Inference Problem[第11讲:逼近概率分布(I):聚类作为一个示例推理问题]
  David MacKay(视频讲座网) Lecture 11: Approximating Probability Distributions (I): Clustering As An Example Inference Problem
热度：18

12
Probabilities and Language Models[概率和语言模型]
  Jason Eisner(视频讲座网) Probabilities and Language Models
热度：28

13
Beyond Backpropagation: Uncertainty Propagation[超越反向传播:不确定性传播]
   Neil D. Lawrence(视频讲座网) Deep learning is founded on composable functions that are structured to capture regularities in data and can have their parameters optimized by backpr...
热度：22

14
From Language Modelling to Machine Translation[从语言建模到机器翻译]
  Phil Blunsom(视频讲座网) From Language Modelling to Machine Translation
热度：23

15
Deep Learning (hopefully faster)[深度学习(希望更快)]
  Adam Coates(视频讲座网) Deep Learning (hopefully faster)
热度：19

16
Inverse Problems in Biology[生物学中的逆向问题]
  Djelil Chafai(视频讲座网) Inverse Problems in Biology
热度：23

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Lecture 13: Approximating Probability Distributions (III): Monte Carlo Methods (II): Slice Sampling, Hybrid Monte Carlo, Over-relaxation, Exact Sampling[第13讲:近似概率分布(III):蒙特卡罗方法(II):切片抽样，混合蒙特卡罗，过度松弛，精确抽样]
  David MacKay(视频讲座网) Lecture 13: Approximating Probability Distributions (III): Monte Carlo Methods (II): Slice Sampling, Hybrid Monte Carlo, Over-relaxation, Exact Sampli...
热度：17

18
Memory, Reading, and Comprehension[记忆，阅读和理解]
  Phil Blunsom(视频讲座网) Memory, Reading, and Comprehension
热度：14

19
Efficient Correlated Topic Modeling with Topic Embedding[基于主题嵌入的高效相关主题建模]
  Muhan Zhang(视频讲座网) Correlated topic modeling has been limited to small model and problem sizes due to their high computational cost and poor scaling. In this paper, we p...
热度：16

20
Variational Autoencoders with PixelCNN Decoders[带有PixelCNN解码器的变分自动编码器]
  Ishaan Gulrajani(视频讲座网) Variational Autoencoders with PixelCNN Decoders
热度：13