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Merged
merged 4 commits into from
Jan 11, 2022
Merged

typo fix #1990

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d5944aa
typo fix
MaoXianXin Dec 19, 2021
b2a2528
typo fix
MaoXianXin Dec 23, 2021
1e09dde
nbfmt
tfdocsbot Dec 23, 2021
d7013b8
Update site/en/tutorials/images/data_augmentation.ipynb
8bitmp3 Jan 11, 2022
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1 change: 0 additions & 1 deletion site/en/guide/checkpoint.ipynb
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Expand Up @@ -683,7 +683,6 @@
"colab": {
"collapsed_sections": [],
"name": "checkpoint.ipynb",
"provenance": [],
"toc_visible": true
},
"kernelspec": {
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2 changes: 1 addition & 1 deletion site/en/r1/tutorials/images/transfer_learning.ipynb
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Expand Up @@ -547,7 +547,7 @@
"\n",
"# Freeze all the layers before the `fine_tune_at` layer\n",
"for layer in base_model.layers[:fine_tune_at]:\n",
" layer.trainable = False"
" layer.trainable = False"
]
},
{
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6 changes: 3 additions & 3 deletions site/en/tutorials/images/data_augmentation.ipynb
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Expand Up @@ -937,7 +937,7 @@
"outputs": [],
"source": [
"cropped = tf.image.central_crop(image, central_fraction=0.5)\n",
"visualize(image,cropped)"
"visualize(image, cropped)"
]
},
{
Expand Down Expand Up @@ -989,7 +989,7 @@
"Note: `seed` is a `Tensor` of shape `(2,)` whose values are any integers.\n",
"\n",
"In the following sections, you will:\n",
"1. Go over examples of using random image operations to transform an image; and\n",
"1. Go over examples of using random image operations to transform an image.\n",
"2. Demonstrate how to apply random transformations to a training dataset."
]
},
Expand Down Expand Up @@ -1174,7 +1174,7 @@
},
"outputs": [],
"source": [
"# Create a `Counter` object and `Dataset.zip` it together with the trainining set.\n",
"# Create a `Counter` object and `Dataset.zip` it together with the training set.\n",
"counter = tf.data.experimental.Counter()\n",
"train_ds = tf.data.Dataset.zip((train_datasets, (counter, counter)))"
]
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2 changes: 1 addition & 1 deletion site/en/tutorials/images/transfer_learning.ipynb
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Expand Up @@ -839,7 +839,7 @@
"\n",
"# Freeze all the layers before the `fine_tune_at` layer\n",
"for layer in base_model.layers[:fine_tune_at]:\n",
" layer.trainable = False"
" layer.trainable = False"
]
},
{
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2 changes: 1 addition & 1 deletion site/en/tutorials/keras/regression.ipynb
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Expand Up @@ -768,7 +768,7 @@
},
"outputs": [],
"source": [
"plot_horsepower(x,y)"
"plot_horsepower(x, y)"
]
},
{
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