notes about machine learning
很喜欢一句话:应用之道,存乎一心,与大家共勉
ps:如果我的笔记对你有帮助,给个star叭!
做了一段时间的笔记,发现真正去做project的时候,自己还是很生疏的,machine learning理论学习得再详尽,最终也还是要落于实践才行,这段时间我将陆续将自己所做的几个Assignment上传至github上,尽量注释详细,并使用多种方法进行对比验证:https://github.com/Sakura-gh/ML-assignments
the github page is: https://Sakura-gh.github.io/ML-notes
you can also visit gitee page for quicker Internet in China: https://Sakura-gh.gitee.io/ml-notes
4_Where does the error come from
11_Convolutional Neural Network part1
12_Convolutional Neural Network part2
梯度下降代码举例:Gradient Descent Demo(Adagrad)
Gradient Descent Demo(Adagrad)
GPL-2.0
图片加载可能会有些许缓慢,请耐心等待\(^o^)/