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Merged
TCChenlong merged 1 commit into from
Nov 16, 2021
Merged

update to 2.2 #4100

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92 changes: 50 additions & 42 deletions docs/practices/cv/convnet_image_classification.ipynb
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40 changes: 20 additions & 20 deletions docs/practices/cv/image_classification.ipynb
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Expand Up @@ -9,7 +9,7 @@
"# 使用LeNet在MNIST数据集实现图像分类\n",
"\n",
"**作者:** [PaddlePaddle](https://github.com/PaddlePaddle) <br>\n",
"**日期:** 2021.10 <br>\n",
"**日期:** 2021.11 <br>\n",
"**摘要:** 本示例教程演示如何在MNIST数据集上用LeNet进行图像分类。"
]
},
Expand All @@ -21,7 +21,7 @@
"source": [
"## 一、环境配置\n",
"\n",
"本教程基于Paddle 2.2.0-rc0 编写，如果您的环境不是本版本，请先参考官网[安装](https://www.paddlepaddle.org.cn/install/quick) Paddle 2.1 。"
"本教程基于Paddle 2.2.0 编写，如果你的环境不是本版本，请先参考官网[安装](https://www.paddlepaddle.org.cn/install/quick) Paddle 2.2.0 。"
]
},
{
Expand All @@ -35,7 +35,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"2.2.0-rc0\n"
"2.2.0\n"
]
}
],
Expand Down Expand Up @@ -188,7 +188,7 @@
},
{
"cell_type": "code",
"execution_count": 9,
"execution_count": null,
"metadata": {
"collapsed": false
},
Expand All @@ -208,7 +208,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 8,
"metadata": {
"collapsed": false
},
Expand All @@ -219,9 +219,9 @@
"text": [
"The loss value printed in the log is the current step, and the metric is the average value of previous steps.\n",
"Epoch 1/2\n",
"step 938/938 [==============================] - loss: 0.0329 - acc: 0.9399 - 10ms/step \n",
"step 938/938 [==============================] - loss: 0.0763 - acc: 0.9526 - 11ms/step \n",
"Epoch 2/2\n",
"step 938/938 [==============================] - loss: 0.0092 - acc: 0.9798 - 10ms/step \n"
"step 938/938 [==============================] - loss: 0.0075 - acc: 0.9835 - 10ms/step \n"
]
}
],
Expand All @@ -245,7 +245,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 9,
"metadata": {
"collapsed": false
},
Expand All @@ -255,17 +255,17 @@
"output_type": "stream",
"text": [
"Eval begin...\n",
"step 157/157 [==============================] - loss: 4.4728e-04 - acc: 0.9857 - 8ms/step \n",
"step 157/157 [==============================] - loss: 2.0455e-04 - acc: 0.9864 - 8ms/step \n",
"Eval samples: 10000\n"
]
},
{
"data": {
"text/plain": [
"{'loss': [0.0004472804], 'acc': 0.9857}"
"{'loss': [0.00020454898], 'acc': 0.9864}"
]
},
"execution_count": 11,
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
Expand Down Expand Up @@ -297,7 +297,7 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 10,
"metadata": {
"collapsed": false
},
Expand All @@ -306,14 +306,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
"epoch: 0, batch_id: 0, loss is: [3.2611141], acc is: [0.078125]\n",
"epoch: 0, batch_id: 300, loss is: [0.24404016], acc is: [0.921875]\n",
"epoch: 0, batch_id: 600, loss is: [0.03953885], acc is: [1.]\n",
"epoch: 0, batch_id: 900, loss is: [0.03700985], acc is: [0.984375]\n",
"epoch: 1, batch_id: 0, loss is: [0.05806625], acc is: [0.96875]\n",
"epoch: 1, batch_id: 300, loss is: [0.06538856], acc is: [0.953125]\n",
"epoch: 1, batch_id: 600, loss is: [0.03884572], acc is: [0.984375]\n",
"epoch: 1, batch_id: 900, loss is: [0.01922364], acc is: [0.984375]\n"
"epoch: 0, batch_id: 0, loss is: [3.0316443], acc is: [0.0625]\n",
"epoch: 0, batch_id: 300, loss is: [0.16949166], acc is: [0.9375]\n",
"epoch: 0, batch_id: 600, loss is: [0.04333997], acc is: [0.984375]\n",
"epoch: 0, batch_id: 900, loss is: [0.0382758], acc is: [0.984375]\n",
"epoch: 1, batch_id: 0, loss is: [0.05184244], acc is: [0.96875]\n",
"epoch: 1, batch_id: 300, loss is: [0.04323502], acc is: [0.984375]\n",
"epoch: 1, batch_id: 600, loss is: [0.06236228], acc is: [0.984375]\n",
"epoch: 1, batch_id: 900, loss is: [0.03451318], acc is: [0.96875]\n"
]
}
],
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102 changes: 34 additions & 68 deletions docs/practices/cv/image_search.ipynb
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93 changes: 14 additions & 79 deletions docs/practices/cv/image_segmentation.ipynb
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Expand Up @@ -9,7 +9,7 @@
"# 基于U-Net卷积神经网络实现宠物图像分割\n",
"\n",
"**作者:** [PaddlePaddle](https://github.com/PaddlePaddle)<br>\n",
"**日期:** 2021.10<br>\n",
"**日期:** 2021.11<br>\n",
"**摘要:** 本示例教程使用U-Net实现图像分割。"
]
},
Expand Down Expand Up @@ -47,7 +47,7 @@
{
"data": {
"text/plain": [
"'2.2.0-rc0'"
"'2.2.0'"
]
},
"execution_count": null,
Expand Down Expand Up @@ -731,6 +731,14 @@
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"W1108 15:37:35.553402 159 device_context.cc:447] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.1, Runtime API Version: 10.1\n",
"W1108 15:37:35.558030 159 device_context.cc:465] device: 0, cuDNN Version: 7.6.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
Expand Down Expand Up @@ -862,7 +870,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 15,
"metadata": {
"collapsed": false
},
Expand All @@ -873,80 +881,7 @@
"text": [
"The loss value printed in the log is the current step, and the metric is the average value of previous steps.\n",
"Epoch 1/15\n",
"step 197/197 [==============================] - loss: 0.7315 - 255ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.6949 - 232ms/step \n",
"Eval samples: 1108\n",
"Epoch 2/15\n",
"step 197/197 [==============================] - loss: 0.4554 - 249ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.5985 - 232ms/step \n",
"Eval samples: 1108\n",
"Epoch 3/15\n",
"step 197/197 [==============================] - loss: 0.4946 - 273ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.5212 - 264ms/step \n",
"Eval samples: 1108\n",
"Epoch 4/15\n",
"step 197/197 [==============================] - loss: 0.6329 - 263ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.6810 - 233ms/step \n",
"Eval samples: 1108\n",
"Epoch 5/15\n",
"step 197/197 [==============================] - loss: 0.5155 - 247ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.4560 - 234ms/step \n",
"Eval samples: 1108\n",
"Epoch 6/15\n",
"step 197/197 [==============================] - loss: 0.3929 - 251ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.4077 - 233ms/step \n",
"Eval samples: 1108\n",
"Epoch 7/15\n",
"step 197/197 [==============================] - loss: 0.2830 - 260ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.3842 - 232ms/step \n",
"Eval samples: 1108\n",
"Epoch 8/15\n",
"step 197/197 [==============================] - loss: 0.2933 - 259ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.4037 - 231ms/step \n",
"Eval samples: 1108\n",
"Epoch 9/15\n",
"step 197/197 [==============================] - loss: 0.4570 - 252ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.5587 - 230ms/step \n",
"Eval samples: 1108\n",
"Epoch 10/15\n",
"step 197/197 [==============================] - loss: 0.3355 - 256ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.4318 - 231ms/step \n",
"Eval samples: 1108\n",
"Epoch 11/15\n",
"step 197/197 [==============================] - loss: 0.3249 - 247ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.4173 - 232ms/step \n",
"Eval samples: 1108\n",
"Epoch 12/15\n",
"step 197/197 [==============================] - loss: 0.2620 - 258ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.3748 - 235ms/step \n",
"Eval samples: 1108\n",
"Epoch 13/15\n",
"step 197/197 [==============================] - loss: 0.3584 - 260ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.4346 - 233ms/step \n",
"Eval samples: 1108\n",
"Epoch 14/15\n",
"step 197/197 [==============================] - loss: 0.3658 - 248ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.4121 - 239ms/step \n",
"Eval samples: 1108\n",
"Epoch 15/15\n",
"step 197/197 [==============================] - loss: 0.3259 - 247ms/step \n",
"Eval begin...\n",
"step 35/35 [==============================] - loss: 0.4794 - 235ms/step \n",
"Eval samples: 1108\n"
"step 80/197 [===========>..................] - loss: 1.0866 - ETA: 29s - 248ms/st"
]
}
],
Expand Down Expand Up @@ -992,7 +927,7 @@
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": null,
"metadata": {
"collapsed": false
},
Expand Down Expand Up @@ -1025,7 +960,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": null,
"metadata": {
"collapsed": false
},
Expand Down
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