EricPengShuai
diff --git a/‎GRU_Classifier.ipynb ‎RNN/GRU_Classifier.ipynb
+1-1 b/‎GRU_Classifier.ipynb ‎RNN/GRU_Classifier.ipynb
+1-1
diff --git a/‎RNN.md ‎RNN/RNN.md b/‎RNN.md ‎RNN/RNN.md
diff --git a/‎RNN_Regression.py ‎RNN/RNN_Regression.py b/‎RNN_Regression.py ‎RNN/RNN_Regression.py
diff --git a/‎RNNcell.ipynb ‎RNN/RNNcell.ipynb
+1-1 b/‎RNNcell.ipynb ‎RNN/RNNcell.ipynb
+1-1
@@ -59,7 +59,7 @@
     "\n",
     "class NameDataset(Dataset):\n",
     "    def __init__(self, is_train_set):\n",
-    "        filename = './dataset/names_train.csv.gz' if is_train_set else './dataset//names_test.csv.gz'\n",
+    "        filename = '../dataset/names_train.csv.gz' if is_train_set else '../dataset/names_test.csv.gz'\n",
     "        with gzip.open(filename, 'rt') as f:    # r表示只读，从文件头开始 t表示文本模式\n",
     "            reader = csv.reader(f)\n",
     "            rows = list(reader)\n",
 
@@ -136,7 +136,7 @@
     "1. 首先需要将输入的单词转成向量`one-hot vector`\n",
     "2. 注意input_size，如下图\n",
     "\n",
-    "![转化成向量](https://ericpengshuai.github.io/shen-du-xue-xi/ac81e297adc0/RNN_example.png)\n",
+    "![转化成向量](https://s2.loli.net/2022/01/11/DwGu2hUaopHljtY.png)\n",
     "\n",
     "## 注意交叉熵在计算loss的时候维度关系，这里的hidden是`([1, 4])`, label是 `([1])`"
    ],