Commit d8551c9d authored by Yash Katariya's avatar Yash Katariya
Browse files

Removed preprocess function

parent 5bb9e6f3
......@@ -5,6 +5,8 @@
"colab": {
"name": "basic_classification.ipynb",
"version": "0.3.2",
"views": {},
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"provenance": [],
"private_outputs": true,
"collapsed_sections": [],
......@@ -30,7 +32,12 @@
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......@@ -53,7 +60,12 @@
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......@@ -122,7 +134,12 @@
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......@@ -179,7 +196,12 @@
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......@@ -258,7 +280,12 @@
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......@@ -284,7 +311,12 @@
"metadata": {
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......@@ -307,7 +339,12 @@
"metadata": {
"id": "TRFYHB2mCaWb",
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"colab": {
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......@@ -330,7 +367,12 @@
"metadata": {
"id": "XKnCTHz4CaWg",
"colab_type": "code",
"colab": {}
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"cell_type": "code",
"source": [
......@@ -353,7 +395,12 @@
"metadata": {
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"colab": {}
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"source": [
......@@ -376,7 +423,12 @@
"metadata": {
"id": "iJmPr5-ACaWn",
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"colab": {}
"colab": {
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"cell_type": "code",
"source": [
......@@ -401,7 +453,12 @@
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"source": [
......@@ -423,22 +480,6 @@
"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",
"colab": {}
},
"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 +494,18 @@
"metadata": {
"id": "bW5WzIPlCaWv",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
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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 +524,12 @@
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......@@ -527,7 +578,12 @@
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......@@ -564,7 +620,12 @@
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......@@ -597,7 +658,12 @@
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......@@ -632,7 +698,12 @@
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......@@ -669,7 +740,12 @@
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......@@ -692,7 +768,12 @@
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......@@ -715,7 +796,12 @@
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......@@ -738,7 +824,12 @@
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......@@ -761,7 +852,12 @@
"metadata": {
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......@@ -802,7 +898,12 @@
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......@@ -828,7 +929,12 @@
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......@@ -854,7 +960,12 @@
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......@@ -879,7 +990,12 @@
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......@@ -904,7 +1020,12 @@
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......
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