【论文】Tishby‘s talk about Information Bottleneck 翻译（二）
要想听懂这一段，先准备一点基础知识： https://www.youtube.com/watch?v=EQTtBRM0sIs&feature=youtu.be&t=42m55s Tishby另一个视频，介绍的更详细一点。 1.PAC学习：Probably Approximately Correct，PAC框架主要确定数据是否可分，确定训练样本个数，判断时间空间复杂度等。 2. 假设空间：Hypot
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相关文章
- 1. 【论文】Tishby‘s talk about Information Bottleneck 翻译（一）
- 2. 译｜Let’s talk about logging
- 3. What We Talk About When We Talk About Distributed Systems
- 4. BBR论文中文翻译
- 5. Talk about VR
- 6. 【论文精读】Deep Learning and the Information Bottleneck Principle
- 7. Talk about light transport methods
- 8. 毕业设计-论文翻译
- 9. [翻译] About Core Image
- 10. Talk about ReactNative Image Component