update utils

Author: L1aoXingyu

chapter4_CNN/batch-normalization.ipynb

@@ -19,6 +19,9 @@
    },
    "outputs": [],
    "source": [
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "\n",
     "import torch"
    ]
   },

chapter4_CNN/data-augumentation.ipynb

@@ -409,6 +409,9 @@
    },
    "outputs": [],
    "source": [
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "\n",
     "import numpy as np\n",
     "import torch\n",
     "from torch import nn\n",

chapter4_CNN/densenet.ipynb

@@ -19,6 +19,9 @@
    },
    "outputs": [],
    "source": [
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "\n",
     "import numpy as np\n",
     "import torch\n",
     "from torch import nn\n",

chapter4_CNN/googlenet.ipynb

@@ -19,6 +19,9 @@
    },
    "outputs": [],
    "source": [
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "\n",
     "import numpy as np\n",
     "import torch\n",
     "from torch import nn\n",

chapter4_CNN/lr-decay.ipynb

@@ -19,6 +19,9 @@
    },
    "outputs": [],
    "source": [
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "\n",
     "import numpy as np\n",
     "import torch\n",
     "from torch import nn\n",

chapter4_CNN/regularization.ipynb

@@ -19,6 +19,9 @@
    },
    "outputs": [],
    "source": [
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "\n",
     "import numpy as np\n",
     "import torch\n",
     "from torch import nn\n",

chapter4_CNN/resnet.ipynb

@@ -19,6 +19,9 @@
    },
    "outputs": [],
    "source": [
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "\n",
     "import numpy as np\n",
     "import torch\n",
     "from torch import nn\n",

chapter4_CNN/vgg.ipynb

@@ -19,6 +19,9 @@
    },
    "outputs": [],
    "source": [
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "\n",
     "import numpy as np\n",
     "import torch\n",
     "from torch import nn\n",

chapter6_PyTorch-Advances/optimizer/momentum.ipynb

@@ -116,13 +116,6 @@
     "print('使用时间: {:.5f} s'.format(end - start))"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "当然，pytorch 内置了动量法的实现，非常简单，直接在 `torch.optim.SGD(momentum=0.9)` 即可，下面实现一下"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": 25,
@@ -145,7 +138,7 @@
    ],
    "source": [
     "train_data = DataLoader(train_set, batch_size=64, shuffle=True)\n",
-    "# 使用 Sequential 定义 3 层神经网络\n",
+    "# 使用 Sequential 定义 2 层神经网络\n",
     "net = nn.Sequential(\n",
     "    nn.Linear(784, 200),\n",
     "    nn.ReLU(),\n",

chapter6_PyTorch-Advances/tensorboard.ipynb

@@ -20,6 +20,9 @@
    },
    "outputs": [],
    "source": [
+    "import sys\n",
+    "sys.path.append('..')\n",
+    "\n",
     "import numpy as np\n",
     "import torch\n",
     "from torch import nn\n",
@@ -200,9 +203,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "mx",
    "language": "python",
-   "name": "python3"
+   "name": "mx"
   },
   "language_info": {
    "codemirror_mode": {
@@ -214,7 +217,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.2"
+   "version": "3.6.0"
   }
  },
  "nbformat": 4,