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   "source": [
    "# 4.1 算法原理\n",
    "\n",
    "## 4.1.1 神经网络的误差向后传递过程"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1.1.1 神经网络基本结构\n",
    "![1](Picture2/4111.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1.1.2 误差反向传导算法\n",
    "![2](Picture/4112.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1.1.3 误差反向传导过程\n",
    "![3](Picture/4113.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4.1.2 边界极大化（SVM）\n",
    "\n",
    "### 4.1.2.1 边界最大化推导过程\n",
    "![4](Picture/4121.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1.2.2 对偶问题求解步骤\n",
    "![5](Picture/4122.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1.2.3 非线性情况求解\n",
    "![6](Picture/4123.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1.2.4 多类问题\n",
    "![7](Picture/4124.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.1.2.5 SMO算法\n",
    "![8](Picture/4125.png)"
   ]
  },
  {
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   "metadata": {},
   "outputs": [],
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