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Reran notebook for cleaner output cells.
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@mdbloice
mdbloice committed Mar 23, 2018
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Showing 1 changed file with 24 additions and 17 deletions.
41 changes: 24 additions & 17 deletions notebooks/Augmentor_Keras.ipynb
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"\n",
"The directory `0` contains all the images corresponding to the 0 class.\n",
"\n",
"To do this, we instantiate a pipeline object in the `mnist` parent directory:"
"To get the data, we can use `wget` (this may not work under Windows):"
]
},
{
Expand All @@ -189,28 +189,35 @@
"name": "stdout",
"output_type": "stream",
"text": [
"--2018-03-23 14:59:00-- https://rawgit.com/myleott/mnist_png/master/mnist_png.tar.gz\n",
"Resolving rawgit.com (rawgit.com)... 104.18.63.176, 104.18.62.176, 2400:cb00:2048:1::6812:3eb0, ...\n",
"Connecting to rawgit.com (rawgit.com)|104.18.63.176|:443... connected.\n",
"--2018-03-23 15:15:37-- https://rawgit.com/myleott/mnist_png/master/mnist_png.tar.gz\n",
"Resolving rawgit.com (rawgit.com)... 104.18.62.176, 104.18.63.176, 2400:cb00:2048:1::6812:3eb0, ...\n",
"Connecting to rawgit.com (rawgit.com)|104.18.62.176|:443... connected.\n",
"HTTP request sent, awaiting response... 301 Moved Permanently\n",
"Location: https://raw.githubusercontent.com/myleott/mnist_png/master/mnist_png.tar.gz [following]\n",
"--2018-03-23 14:59:01-- https://raw.githubusercontent.com/myleott/mnist_png/master/mnist_png.tar.gz\n",
"--2018-03-23 15:15:37-- https://raw.githubusercontent.com/myleott/mnist_png/master/mnist_png.tar.gz\n",
"Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.112.133\n",
"Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.112.133|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 15683414 (15M) [application/octet-stream]\n",
"Saving to: ‘mnist_png.tar.gz’\n",
"\n",
"100%[======================================>] 15,683,414 8.98MB/s in 1.7s \n",
"100%[======================================>] 15,683,414 9.06MB/s in 1.7s \n",
"\n",
"2018-03-23 14:59:03 (8.98 MB/s) - ‘mnist_png.tar.gz’ saved [15683414/15683414]\n",
"2018-03-23 15:15:38 (9.06 MB/s) - ‘mnist_png.tar.gz’ saved [15683414/15683414]\n",
"\n"
]
}
],
"source": [
"!wget https://rawgit.com/myleott/mnist_png/master/mnist_png.tar.gz\n",
"!tar -xf mnist_png.tar.gz "
"!tar -xf mnist_png.tar.gz"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"After the MNIST data has downloaded, we can instantiate a `Pipeline` object in the `training` directory to add the images to the current pipeline:"
]
},
{
Expand Down Expand Up @@ -349,7 +356,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
"[0 1 0 0 0 0 0 0 0 0]\n"
"[0 0 0 0 0 1 0 0 0 0]\n"
]
}
],
Expand All @@ -361,7 +368,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Or preview the images using Matplotlib (the image should be a 1, according to the label information above):"
"Or preview the images using Matplotlib (the image should be a 5, according to the label information above):"
]
},
{
Expand All @@ -371,9 +378,9 @@
"outputs": [
{
"data": {
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"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x7f4f5b2f8550>"
"<matplotlib.figure.Figure at 0x7ff6e6ffa550>"
]
},
"metadata": {},
Expand Down Expand Up @@ -405,15 +412,15 @@
"output_type": "stream",
"text": [
"Epoch 1/5\n",
"468/468 [==============================] - 37s 79ms/step - loss: 0.4748 - acc: 0.8508\n",
"468/468 [==============================] - 30s 65ms/step - loss: 0.4860 - acc: 0.8478\n",
"Epoch 2/5\n",
"468/468 [==============================] - 28s 61ms/step - loss: 0.1966 - acc: 0.9409\n",
"468/468 [==============================] - 29s 63ms/step - loss: 0.2026 - acc: 0.9392\n",
"Epoch 3/5\n",
"468/468 [==============================] - 28s 61ms/step - loss: 0.1589 - acc: 0.9523\n",
"468/468 [==============================] - 29s 61ms/step - loss: 0.1611 - acc: 0.9523\n",
"Epoch 4/5\n",
"468/468 [==============================] - 27s 59ms/step - loss: 0.1386 - acc: 0.9586\n",
"468/468 [==============================] - 28s 60ms/step - loss: 0.1405 - acc: 0.9582\n",
"Epoch 5/5\n",
"468/468 [==============================] - 27s 59ms/step - loss: 0.1210 - acc: 0.9640\n"
"468/468 [==============================] - 28s 59ms/step - loss: 0.1203 - acc: 0.9645\n"
]
}
],
Expand Down

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