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Unverified Commit 713228fd authored by Mark Daoust's avatar Mark Daoust Committed by GitHub
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Merge pull request #4587 from lamberta/fix-remove-preprocess-fn 

Remove preprocess fn
parents 5bb9e6f3 60123cde
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Showing with 162 additions and 57 deletions
samples/core/get_started/basic_classification.ipynb
View file @ 713228fd
......@@ -5,6 +5,8 @@
"colab": {
"name": "basic_classification.ipynb",
"version": "0.3.2",
"views": {},
"default_view": {},
"provenance": [],
"private_outputs": true,
"collapsed_sections": [],
......@@ -30,7 +32,13 @@
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"id": "_ckMIh7O7s6D",
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......@@ -53,7 +61,13 @@
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"cellView": "form"
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"source": [
......@@ -122,7 +136,12 @@
"metadata": {
"id": "dzLKpmZICaWN",
"colab_type": "code",
"colab": {}
"colab": {
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}
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"cell_type": "code",
"source": [
......@@ -179,7 +198,12 @@
"metadata": {
"id": "7MqDQO0KCaWS",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
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}
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"cell_type": "code",
"source": [
......@@ -258,7 +282,12 @@
"metadata": {
"id": "IjnLH5S2CaWx",
"colab_type": "code",
"colab": {}
"colab": {
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},
"cell_type": "code",
"source": [
......@@ -284,7 +313,12 @@
"metadata": {
"id": "zW5k_xz1CaWX",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
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}
},
"cell_type": "code",
"source": [
......@@ -307,7 +341,12 @@
"metadata": {
"id": "TRFYHB2mCaWb",
"colab_type": "code",
"colab": {}
"colab": {
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}
},
"cell_type": "code",
"source": [
......@@ -330,7 +369,12 @@
"metadata": {
"id": "XKnCTHz4CaWg",
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"colab": {}
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}
},
"cell_type": "code",
"source": [
......@@ -353,7 +397,12 @@
"metadata": {
"id": "2KFnYlcwCaWl",
"colab_type": "code",
"colab": {}
"colab": {
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"wait_interval": 0
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}
},
"cell_type": "code",
"source": [
......@@ -376,7 +425,12 @@
"metadata": {
"id": "iJmPr5-ACaWn",
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"colab": {}
"colab": {
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"cell_type": "code",
"source": [
......@@ -401,7 +455,12 @@
"metadata": {
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"source": [
......@@ -423,22 +482,6 @@
"We will scale these values to a range of 0 to 1 before feeding to the neural network model. For this, cast the datatype of the image components from and integer to a float, and divide by 255. Here's the function to preprocess the images:"
]
},
{
"metadata": {
"id": "DSD9qKcqCaWs",
"colab_type": "code",
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},
"cell_type": "code",
"source": [
"def preprocess(images):\n",
" images = images.astype(np.float32)\n",
" images = images / 255\n",
" return images"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "3jCZdQNNCaWv",
......@@ -453,13 +496,18 @@
"metadata": {
"id": "bW5WzIPlCaWv",
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"colab": {}
"colab": {
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}
},
"cell_type": "code",
"source": [
"train_images = preprocess(train_images)\n",
"train_images = train_images / 255.0\n",
"\n",
"test_images = preprocess(test_images)"
"test_images = test_images / 255.0"
],
"execution_count": 0,
"outputs": []
......@@ -478,7 +526,12 @@
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"source": [
......@@ -527,7 +580,12 @@
"metadata": {
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......@@ -564,7 +622,12 @@
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......@@ -597,7 +660,12 @@
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......@@ -632,7 +700,12 @@
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......@@ -669,7 +742,12 @@
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......@@ -692,7 +770,12 @@
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......@@ -715,7 +798,12 @@
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"source": [
......@@ -738,7 +826,12 @@
"metadata": {
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"colab": {
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}
},
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"source": [
......@@ -761,7 +854,12 @@
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"colab": {
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},
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"source": [
......@@ -802,7 +900,12 @@
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......@@ -828,7 +931,12 @@
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......@@ -854,7 +962,12 @@
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"source": [
......@@ -879,7 +992,12 @@
"metadata": {
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"source": [
......@@ -899,19 +1017,6 @@
"source": [
"And, as before, the model predicts a label of 9."
]
},
{
"metadata": {
"id": "fzHAx2M99WCd",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}
\ No newline at end of file
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