开课单位--谷歌
1 1/1

1
Beyond Seq2Seq with Augmented RNNs[使用增强RNN超越Seq2Seq]
  Edward Grefenstette(谷歌) Sequence to sequence models in their most basic form, following an encoder-decoder paradigm, compressively encode source sequence representations into...
热度：25

2
Collaborative Deep Metric Learning for Video Understanding[用于视频理解的协作深度度量学习]
  Joonseok Lee(谷歌) The goal of video understanding is to develop algorithms that enable machines understand videos at the level of human experts. Researchers have tackle...
热度：30

3
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift[批量归一化：通过减少内部协变量偏移加速深度网络训练]
  Sergey Ioffe(谷歌) Training Deep Neural Networks is complicated by the fact that the distribution of each layer’s inputs changes during training, as the parameters...
热度：41

4
Tutorial on Neural Network Optimization Problems[神经网络优化问题教程]
   Ian Goodfellow(谷歌) Tutorial on Neural Network Optimization Problems
热度：26

5
Statistical Learning as the Ultimate Agile Development Tool[统计学习作为最终的敏捷开发工具]
  Peter Norvig(谷歌) Statistical Learning as the Ultimate Agile Development Tool
热度：36

6
Language Technologies for Better Internet Services[语言技术促进更好的互联网服务]
   Thomas Hofmann(谷歌) Language Technologies for Better Internet Services
热度：21
1 1/1