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Update Task3 模型建立之CNN+LSTM.ipynb

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Task3 模型建立之CNN+LSTM.ipynb
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@ -375,7 +375,7 @@
"\n", "\n",
"由于每条数据在时间上有重叠，我们取数据的前12个月拼接起来，就得到了长度为（数据条数×12个月）的序列数据，如图1所示：\n", "由于每条数据在时间上有重叠，我们取数据的前12个月拼接起来，就得到了长度为（数据条数×12个月）的序列数据，如图1所示：\n",
"\n", "\n",
"<img style=\"float: center;\" src=\"Task3-图1.png\" width=\"70%\">\n", "<img style=\"float: center;\" src=\"Task3-图1.jpg\" width=\"70%\">\n",
"\n", "\n",
"然后我们以每个月为起始月，接下来的12个月作为模型输入X，后24个月的Nino3.4指数作为预测目标Y构建训练样本，如图2所示：\n", "然后我们以每个月为起始月，接下来的12个月作为模型输入X，后24个月的Nino3.4指数作为预测目标Y构建训练样本，如图2所示：\n",
"<img style=\"float: center;\" src=\"Task3-图2.png\" width=\"70%\">\n", "<img style=\"float: center;\" src=\"Task3-图2.png\" width=\"70%\">\n",