标签：will would 未命名 doing been --- done

阿什顿粉
申达股份

sad

生地方阿什顿粉阿什顿
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5671234666

是打发

1. • 记得找个女朋友
2. 天凉了，记得加衣喔
   • 今日份单词打卡 ✅ 2024-01-12
   • 了解tree shaking和dce ✅ 2024-01-12
   • ✅ 2024-01-12

• [ ] - [ ]
• [ ]
  • [ ]

• [x]
  

   - [ ]
   - 
  

  • [ ]

• [ ]

  • [ ]
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1	1
2

st=>start: 开始
e=>end: 结束
op=>operation: 我的操作
cond=>condition: 判断确认？
  
st->op->cond
cond(yes)->e
cond(no)->op

\(ondition\)
生
的
反攻倒算
sdfg
人生自古谁


[[../萨达发顺丰asdf.md]]
[[../萨达发顺丰asdf.md]]
是大法官
4
3
4
\(undefined\)
\(undefined\)
申达股
申达
申达
申达股

阿什顿粉


• [ ]

• [ ]

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• D
  Sadfasdf

• 撒的发生地方

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• []

• ✅ 2024-01-12

• 是打发

• 是打发 ✅ 2024-01-12

	过去	过去将来	现在	将来
一般	did	would do	do	will do
进行	was/were doing	would be doing	am/is/are doing	will be doing
完成	had done	would have done	have done	will have done
完成进行	had been doing	would have been doing	have been doing	will have been doing

sdf
萨达发

sdf

[!note] 萨达发

萨达发

萨达发

[!note] 是大法师
阿什顿粉
萨达发

[!success] 萨达发
sdf

Open: Pasted image 20240111205326.png

df	s df	sdf

print(2+3)

[2table]

• 测试1|测试2
• 测试3|测试4

public class ObTest{
	public static void main(String args[]) {
		System.out.println("hello world!");
	}
}

	过去	过去将来
:---	:---:---	:---:---
一般	did	would do
进行	was/were doing	would be doing
完成	had done	would have done
完成进行	had been doing	would have been doing
Open: Pasted image 20240111205415.png

Open: 38f24b2a4b47d37025091ddf2c9f6d93610x14989.jpg

人生
人的
人生
file.name
人生
人生
人生
是大
人生

人
生自古谁
人生
would have been doing
xjl xj
xjl456852
人生自古谁
人生
人
人
人生
人
xjl
x

regression
人生

2

人
完成

1	sdf	sdf
2			asd
3
>>>sum()
	过去	过去将来	现在	将来
:---	:---:---	:---:---	:---:---	:---:---
一般	did	would do	do	will do
进行	was/were doing	would be doing	am/is/are doing	will be doing
完成	had done	would have done	have done	will have done
完成进行	had been doing	would have been doing	have been doing	will have been doing

框架

	过去	过去将来	现在	将来
一般	did	would do	do	will do
进行	was/were doing	would be doing	am/is/are doing	will be doing
完成	had done	would have done	have done	will have done
完成进行	had been doing	would have been doing	have been doing	will have been doing

• 基于最基本的线性回归模型p
• 和MSE 损失函数
• 基于EQ1 和　EQ2可以推导N个样本的 MSE Loss :

\(l_{mse}=\frac{1}{n}\sum_{j=1}^{n}l_{j}=\frac{1}{n}\sum_{j=1}^{n}(y_{j}-y_{j_{-}pred})^{2}=\frac{1} {n}\sum_{j=1}^{n}[y_{j}-(W*X_{j}+b)]^{2} --EQ(3)\)

• 基于EQ3，可以推导出Loss对W 和b的偏导表达式：

\(\frac{dl_{mse}}{dW}=\frac{2}{n}\sum_{j=1}^{n}[-X_{j}(y_{j}-(W*X_{j}+b))] -- EQ(4)\)

\(\frac{dl_{mse}}{db}=\frac{2}{n}\sum_{j=1}^{n}[-(y_{j}-(W*X_{j}+b))] --EQ(5)\)

\(\frac{1}{1}\)

• 最后是W和b的迭代公式：

\(W_{update}=W_{old}-lr*\sum_{j=1}^{n}\frac{dl_{j}}{dW} -- EQ (6)\)

\(b_{update}=b_{old}-lr*\sum_{j=1}^{n}\frac{dl_{j}}{db} -- EQ(7)\)

人生自古谁
人生自古谁无死,留取丹心照汗青
xjl456852

标签：will,would,未命名,doing,been,---,done
From： https://www.cnblogs.com/xjl456852/p/18262649