本專題招募管理員舀患,有意向請簡信私聊,謝謝气破!
用來分享機器學(xué)習(xí),深度學(xué)習(xí)餐抢,神經(jīng)網(wǎng)絡(luò)现使,計算機視覺等領(lǐng)域的一些技術(shù)。
Machine Learning 學(xué)習(xí)資料:http://www.reibang.com/p/e0238db24973
相關(guān)參考:
1. [Coursera - Machine Learning by Andrew Ng]:https://www.coursera.org/learn/machine-learning
2. [ Stanford CS231n Course]:http://cs231n.github.io/
課程整理:http://www.reibang.com/p/182baeb82c71
3. [深度學(xué)習(xí)與神經(jīng)網(wǎng)絡(luò)(英文原版)]:http://neuralnetworksanddeeplearning.com/
[GitBook同步鏈接]:https://www.gitbook.com/book/tigerneil/neural-networks-and-deep-learning-zh/details
4. [UFLDL教程]:http://deeplearning.stanford.edu/wiki/index.php/UFLDL%E6%95%99%E7%A8%8B (中文)
http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial (英文)
5. [Deep Learning - An MIT Press book]:http://www.deeplearningbook.org/
6. [Neural Network Playground]:
http://playground.tensorflow.org/
7. [A Guide to Deep Learning]:
http://www.reibang.com/p/6752a8845d01
8. [知乎“機器學(xué)習(xí)”專欄]:
https://www.zhihu.com/collection/108812637
9. [How do Convolutional Neural Networks work?]
http://www.reibang.com/p/fe428f0b32c1
……
希望大家可以相互交流旷痕,相互學(xué)習(xí)碳锈!