Day2 #100DaysofMLCoding#

2018-8-7

今日内容

  1. 继续深度学习Udacity,初步刷完,准备看配套资料,着手做 "街道数字识别"
    配套《Tensorflow实战……》研究tensorflow与深度学习

资料整理

论文

  • Netzer, Y., et al. Reading Digits in Natural Images with Unsupervised Feature Learning. NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2011.

  • Goodfellow, I., et al. Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks. ICLR, 2014. [video]

相关资源

  • UFLDL Deep Learning Tutorial

  • DeepLearning.net: A collection of papers, software, dataset and current events.

  • Deep Learning Summer School, Montreal 2015.

课程

  • CS231n: Convolutional Neural Networks for Visual Recognition, Fei-Fei Li (Stanford).
  • CS224d: Deep Learning for Natural Language Processing, Richard Socher (Stanford).

小知识点

  1. dropout,让每个链接都可靠,冗余学习,学习慢但更可靠
    屏蔽一部分链接,其他链接乘以相应倍数

  2. numpy技巧


  3. 权重共享 统计不变性(statistic invariants)



    卷积计算 权重共享 与位置无关

  4. 1*1 卷积作用
    加入非线性,跨通道信息交互,降维

  5. TSNE可以在降维的同时保留临近结构


  6. word2vec

  • sample softmax
  • 用余弦距离比不用L2
  • 类比
  1. LSTM RNN中解决梯度消失


你可能感兴趣的:(Day2 #100DaysofMLCoding#)