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Commit ef86482

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update utils
1 parent a699e10 commit ef86482

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12 files changed

+1150
-11
lines changed

12 files changed

+1150
-11
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‎chapter4_CNN/batch-normalization.ipynb‎

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},
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"outputs": [],
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"source": [
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"import sys\n",
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"sys.path.append('..')\n",
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"\n",
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"import torch"
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]
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},

‎chapter4_CNN/data-augumentation.ipynb‎

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

‎chapter4_CNN/densenet.ipynb‎

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

‎chapter4_CNN/googlenet.ipynb‎

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

‎chapter4_CNN/lr-decay.ipynb‎

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

‎chapter4_CNN/regularization.ipynb‎

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

‎chapter4_CNN/resnet.ipynb‎

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

‎chapter4_CNN/vgg.ipynb‎

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

‎chapter6_PyTorch-Advances/optimizer/momentum.ipynb‎

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"print('使用时间: {:.5f} s'.format(end - start))"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"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"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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],
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"source": [
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"train_data = DataLoader(train_set, batch_size=64, shuffle=True)\n",
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"# 使用 Sequential 定义 3 层神经网络\n",
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"# 使用 Sequential 定义 2 层神经网络\n",
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"net = nn.Sequential(\n",
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" nn.Linear(784, 200),\n",
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" nn.ReLU(),\n",

‎chapter6_PyTorch-Advances/tensorboard.ipynb‎

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

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