AI - 一些參考
阿新 • • 發佈：2019-01-30
tensor bin enc mach -m learn 入門深度學習 and gin
01 - Machine learning infographic
圖片解讀機器學習的基本概念、五大流派與九種常見算法
EN：http://usblogs.pwc.com/emerging-technology/machine-learning-101/
CN：https://zhuanlan.zhihu.com/p/29440419
- Machine learning overview (infographic)：http://usblogs.pwc.com/emerging-technology/a-look-at-machine-learning-infographic/
- Machine learning methods (infographic)：http://usblogs.pwc.com/emerging-technology/machine-learning-methods-infographic/
- Machine learning evolution (infographic)：http://usblogs.pwc.com/emerging-technology/machine-learning-evolution-infographic/
02 - 統計知識
- 機器學習基礎之「統計篇」：https://woaielf.github.io/2017/03/20/sta-all/
- 書目：《統計學習方法》- 李航
03 - 零基礎入門深度學習
- (1)感知器: https://www.zybuluo.com/hanbingtao/note/433855
- (2)線性單元和梯度下降: https://www.zybuluo.com/hanbingtao/note/448086
- (3)神經網絡和反向傳播算法: https://www.zybuluo.com/hanbingtao/note/476663
- (4)卷積神經網絡: https://www.zybuluo.com/hanbingtao/note/485480
- (5)循環神經網絡: https://zybuluo.com/hanbingtao/note/541458
- (6)長短時記憶網絡(LSTM): https://zybuluo.com/hanbingtao/note/581764
- (7)遞歸神經網絡: https://zybuluo.com/hanbingtao/note/626300
04- 公眾號
可作為信息搜索途徑
- 機器之心
- AI前線
- AI研習社
05- TensorFlow Course and Examples
- TensorFlow Course
- TensorFlow Examples
AI - 一些參考