Commit 415f6e39 by xiaotong

new pages

parent 0ff8092c
......@@ -107,104 +107,69 @@
%%%------------------------------------------------------------------------------------------------------------
\section{为什么要谈神经网络}
%%%------------------------------------------------------------------------------------------------------------
\subsection{神经网络的简单实现:张量计算}
\newcounter{mycount1}
\newcounter{mycount2}
\newcounter{mycount3}
\newcounter{mycount4}
%%%------------------------------------------------------------------------------------------------------------
%%% 利用XTensor构建更复杂的神经网络
\begin{frame}{更复杂一点的例子}
\subsection{参数学习 - 反向传播}
%%%------------------------------------------------------------------------------------------------------------
%%% 神经网络 = 表达式
\begin{frame}{神经网络 = 表达式}
\begin{itemize}
\item 任何网络都可以构建,比如RNN、Transformer 等
\item 所有的神经网络都可以看做由变量和函数组成的表达式\\
\end{itemize}
\begin{tcolorbox}
[bicolor,sidebyside,righthand width=4cm,size=title,frame engine=empty,
colback=blue!10!white,colbacklower=black!5!white]
{\scriptsize
\begin{tabbing}
\texttt{XTensor x[3], y[3], r, wh;} \\
\texttt{XTensor h1, h2, w1, b1, h3, h4;} \\
\texttt{XList splits;} \\
\texttt{...} \\
\texttt{for(unsigned i = 0; i < 3; i++)\{} \\
\texttt{\hspace{2em}r = Concatenate(x[i] + r) * wh;}\\
\texttt{\hspace{2em}splits.Add(\&r);}\\
\texttt{\}}\\
\visible<2->{
\texttt{} \\
\texttt{h1 = Merge(splits, 0);}\\
\texttt{h2 = Relu(h1 * w1 + b1);}\\
\texttt{h3 = h1 + h2;} \\
\texttt{h4 = Softmax(h3);} \\
}
\visible<3->{
\texttt{} \\
\texttt{Split(h4, splits, 0);} \\
\texttt{} \\
\texttt{for(unsigned i = 0; i < 3; i++)\{} \\
\texttt{\hspace{2em}y[i] = *(XTensor*)splits.Get(i);}\\
\texttt{\hspace{2em}y[i].Dump(stdout);}\\
\texttt{\}}
}
\end{tabbing}
}
\tcblower
\begin{center}
\begin{tikzpicture}
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\node [anchor=north west] (eq1) at (0,0) {$\textbf{y} = \textbf{x} + \textbf{b}$};
\node [anchor=north west] (eq2) at (eq1.south west) {$\textbf{y} = \textrm{Relu}(\textbf{x} \cdot \textbf{w} + \textbf{b})$};
\node [anchor=north west] (eq3) at (eq2.south west) {$\textbf{y} = (\textrm{Relu}(\textbf{x} \cdot \textbf{w}_1 + \textbf{b}) + \textbf{x}) \cdot \textbf{w}_2$};
\node [anchor=north west] (eq4) at (eq3.south west) {$\textbf{y} = \textrm{Sigmoid}(\textrm{Relu}(\textbf{x} \cdot \textbf{w}_1 + \textbf{b}_1) + \textbf{x}) \cdot \textbf{w}_2 + \textbf{b}_2$};
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\node [anchor=west] (wlabel2) at (wlabel.east) {模型参数 - 怎么设置???};
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\node [anchor=south, minimum height=1.6em,minimum width=1.2em,fill=red!30!white] (w1) at ([xshift=0.2em]eq4.south) {};
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\begin{tcolorbox}[enhanced,size=normal,left=2mm,right=1mm,colback=blue!5!white,colframe=blue!75!black,drop fuzzy shadow]
{\Large
\textbf{问题来了,}
\vspace{0.4em}
\textbf{如何确定w和b,使x与y对应得更好?}
}
\end{tcolorbox}
}
%%%------------------------------------------------------------------------------------------------------------
\subsection{参数学习 - 反向传播}
\end{frame}
\end{CJK}
\end{document}
......@@ -1986,7 +1986,7 @@ cycle}
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\addtocounter{mycount1}{1};
}
\end{scope}
......@@ -2000,11 +2000,11 @@ cycle}
\draw[step=0.5cm,thick] (0,-0.5) grid (3.0,0);
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......@@ -2018,19 +2018,19 @@ cycle}
\draw[step=0.5cm,thick] (0,-0.5) grid (6.0,0);
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\draw[decorate,thick,decoration={brace,mirror,raise=0.2em}] (0,-0.50) -- (2.95,-0.50);
......@@ -2071,7 +2071,7 @@ cycle}
\draw[step=0.5cm,color=orange,thick] (-1,-1) grid (1,1);
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\node [fill=orange!20,inner sep=0pt,minimum height=0.49cm,minimum width=0.49cm] at (\x,\y) {$\number\value{mycount1}$};
\addtocounter{mycount1}{1};
}
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......@@ -2083,7 +2083,7 @@ cycle}
\draw[step=0.5cm,color=blue,thick] (-1,-1) grid (1,1);
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......@@ -2095,7 +2095,7 @@ cycle}
\draw[step=0.5cm,color=ugreen,thick] (-1,-1) grid (1,1);
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......@@ -2107,7 +2107,7 @@ cycle}
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\node [anchor=north] (xlabel) at (0,-1.2) {$\textbf{x}$};
......@@ -2117,14 +2117,14 @@ cycle}
\begin{scope}[yshift=5em,xshift=1.5in]
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......@@ -2140,7 +2140,7 @@ cycle}
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......@@ -2153,7 +2153,7 @@ cycle}
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......@@ -2166,7 +2166,7 @@ cycle}
\foreach \y in {+0.75,+0.25,-0.25,-0.75}{
\setcounter{mycount1}{2}
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\node [fill=green!20,inner sep=0pt,minimum height=0.49cm,minimum width=0.49cm] at (\x,\y) {\number\value{mycount1}};
\node [fill=green!20,inner sep=0pt,minimum height=0.49cm,minimum width=0.49cm] at (\x,\y) {$\number\value{mycount1}$};
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......@@ -2179,7 +2179,7 @@ cycle}
\foreach \y in {+0.75,+0.25,-0.25,-0.75}{
\setcounter{mycount1}{2}
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\node [fill=red!20,inner sep=0pt,minimum height=0.49cm,minimum width=0.49cm] at (\x,\y) {\number\value{mycount1}};
\node [fill=red!20,inner sep=0pt,minimum height=0.49cm,minimum width=0.49cm] at (\x,\y) {$\number\value{mycount1}$};
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}
......@@ -2200,15 +2200,14 @@ cycle}
%%% 张量的单元操作
\begin{frame}{张量的单元操作}
\begin{itemize}
\item 神经网络$\textbf{y}=f(\textbf{x}\cdot \textbf{w} + \textbf{b})$也包括一些张量的单元操作(element-wise opertation)
\item 神经网络$\textbf{y}=f(\textbf{x}\cdot \textbf{w} + \textbf{b})$也包括一些张量的单元操作(element-wise operation)
\begin{itemize}
\item 加法:$\textbf{s}+\textbf{b}$,其中$\textbf{s} = \textbf{x}\cdot \textbf{w}$
\item 激活函数:$f(\cdot)$
\end{itemize}
\item<2-> \textbf{单元加}就是对张量中的每个位置都进行加法
\begin{itemize}
\item 一般要求两个张量的形状是一样的
\item<3-> 不过,这里可以使用加法的\textbf{广播},重复利用一个张量进行加法,并不要求两个张量形状相同
\item<3-> 扩展:加法的\textbf{广播},重复利用一个张量进行加法,并不要求两个张量形状相同
\end{itemize}
\end{itemize}
......@@ -2221,7 +2220,7 @@ cycle}
\draw[step=0.5cm,color=orange,thick] (-1,-0.5) grid (1,0.5);
\foreach \y in {+0.25,-0.25}
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\node [fill=orange!20,inner sep=0pt,minimum height=0.49cm,minimum width=0.49cm] at (\x,\y) {\number\value{mycount1}};
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\addtocounter{mycount1}{1};
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\node [anchor=south] (varlabel) at (0,0.6) {$\textbf{s}$};
......@@ -2231,7 +2230,7 @@ cycle}
\draw[step=0.5cm,color=ugreen,thick] (-1,-0) grid (1,0.5);
\foreach \y in {+0.25}
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\node [anchor=center] (plabel) at (-4.5em,0) {\huge{$\textbf{+}$}};
......@@ -2242,7 +2241,7 @@ cycle}
\draw[step=0.5cm,color=orange,thick] (-1,-0.5) grid (1,0.5);
\foreach \y in {+0.25,-0.25}
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\node [fill=orange!20,inner sep=0pt,minimum height=0.49cm,minimum width=0.49cm] at (\x,\y) {\number\value{mycount1}};
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\addtocounter{mycount1}{1};
}
\node [anchor=center] (plabel) at (-4.5em,0) {\huge{$\textbf{=}$}};
......@@ -2253,25 +2252,34 @@ cycle}
\end{tikzpicture}
\end{center}
\vspace{-0.3em}
\begin{itemize}
\item<4-> 类似的,我们可以对所有位置做加法、乘法等等一系列算数操作,也包括激活函数
\item<4-> 类似的,我们可以做减法、乘法,也包括激活函数。这也被称作函数的向量化(vectorization)
\end{itemize}
\vspace{-0.5em}
\visible<4->{
\begin{displaymath}
\textrm{Relu} \Big( \begin{pmatrix} 2 \\ -.3 \end{pmatrix} \Big) = \begin{pmatrix} 2 \\ 0 \end{pmatrix}
\end{displaymath}
}
\end{frame}
%%%------------------------------------------------------------------------------------------------------------
%%% 深度学习工具包
\begin{frame}{如何实现?- 开源张量计算框架}
\begin{itemize}
\item 实现神经网络的开源系统很多,最简单好用的一个工具包NumPy \url{https://numpy.org/}
\item 实现神经网络的开源系统很多,一个简单好用的工具包NumPy \url{https://numpy.org/}
\begin{itemize}
\item Python接口,多维数组的定义使用方便
\item 提供了张量表示和使用的范式
\end{itemize}
\item<2-> 最近,很火的两个框架:TensorFlow和Pytorch
\item<2-> 最近,很火的两个框架:TensorFlow和PyTorch
\begin{itemize}
\item Google和Facebook出品,质量有保证
\item 功能强大,用例丰富
\item 功能强大,接口丰富
\item 可以进行大规模部署和应用
\item 大量可参考的实例
\end{itemize}
......@@ -2700,5 +2708,61 @@ cycle}
\end{frame}
%%%------------------------------------------------------------------------------------------------------------
%%% 神经网络 = 表达式
\begin{frame}{神经网络 = 表达式}
\begin{itemize}
\item 所有的神经网络都可以看做由变量和函数组成的表达式\\
\end{itemize}
\begin{center}
\begin{tikzpicture}
\node [anchor=north west] (eq1) at (0,0) {$\textbf{y} = \textbf{x} + \textbf{b}$};
\node [anchor=north west] (eq2) at (eq1.south west) {$\textbf{y} = \textrm{Relu}(\textbf{x} \cdot \textbf{w} + \textbf{b})$};
\node [anchor=north west] (eq3) at (eq2.south west) {$\textbf{y} = (\textrm{Relu}(\textbf{x} \cdot \textbf{w}_1 + \textbf{b}) + \textbf{x}) \cdot \textbf{w}_2$};
\node [anchor=north west] (eq4) at (eq3.south west) {$\textbf{y} = \textrm{Sigmoid}(\textrm{Relu}(\textbf{x} \cdot \textbf{w}_1 + \textbf{b}_1) + \textbf{x}) \cdot \textbf{w}_2 + \textbf{b}_2$};
\visible<2->{
\node [anchor=north west,minimum height=1.2em,minimum width=1.2em,fill=green!30!white] (xlabel) at ([yshift=-0.5em,xshift=0.3em]eq4.south west) {};
\node [anchor=west] (xlabel2) at (xlabel.east) {输入变量 - 由用户指定};
}
\begin{pgfonlayer}{background}
\visible<2->{
\node [anchor=south, minimum height=1.6em,minimum width=0.8em,fill=green!30!white] (x1) at ([xshift=-1.3em]eq4.south) {};
\node [anchor=south, minimum height=1.6em,minimum width=0.8em,fill=green!30!white] (x2) at ([xshift=4.9em]eq4.south) {};
}
\end{pgfonlayer}
\visible<3->{
\node [anchor=north west,minimum height=1.2em,minimum width=1.2em,fill=red!30!white] (wlabel) at ([yshift=-0.3em]xlabel.south west) {};
\node [anchor=west] (wlabel2) at (wlabel.east) {模型参数 - 怎么设置???};
}
\begin{pgfonlayer}{background}
\visible<3->{
\node [anchor=south, minimum height=1.6em,minimum width=1.2em,fill=red!30!white] (w1) at ([xshift=0.2em]eq4.south) {};
\node [anchor=south, minimum height=1.6em,minimum width=1.2em,fill=red!30!white] (b1) at ([xshift=2.5em]eq4.south) {};
\node [anchor=south, minimum height=1.6em,minimum width=1.2em,fill=red!30!white] (w2) at ([xshift=6.85em]eq4.south) {};
\node [anchor=south, minimum height=1.6em,minimum width=1.2em,fill=red!30!white] (b2) at ([xshift=9.2em]eq4.south) {};
}
\end{pgfonlayer}
\end{tikzpicture}
\end{center}
\visible<4->{
\begin{tcolorbox}[enhanced,size=normal,left=2mm,right=1mm,colback=blue!5!white,colframe=blue!75!black,drop fuzzy shadow]
{\Large
\textbf{问题来了,}
\vspace{0.4em}
\textbf{如何确定w和b,使x与y对应得更好?}
}
\end{tcolorbox}
}
\end{frame}
\end{CJK}
\end{document}
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