Skip to content

GitLab

"torchvision/datasets/vscode:/vscode.git/clone" did not exist on "d367a01a18a3ae6bee13d8be3b63fd6a581ea46f"
Unverified Commit de936e95 authored by Billy Lamberta's avatar Billy Lamberta Committed by GitHub
Browse files

Merge pull request #1 from createai/master 

Removed preprocess function
parents 5bb9e6f3 d8551c9d
Hide whitespace changes
Inline Side-by-side
Showing with 166 additions and 45 deletions
samples/core/get_started/basic_classification.ipynb
View file @ de936e95
......@@ -5,6 +5,8 @@
"colab": {
"name": "basic_classification.ipynb",
"version": "0.3.2",
"views": {},
"default_view": {},
"provenance": [],
"private_outputs": true,
"collapsed_sections": [],
......@@ -30,7 +32,12 @@
"metadata": {
"id": "_ckMIh7O7s6D",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -53,7 +60,12 @@
"metadata": {
"id": "vasWnqRgy1H4",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -122,7 +134,12 @@
"metadata": {
"id": "dzLKpmZICaWN",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -179,7 +196,12 @@
"metadata": {
"id": "7MqDQO0KCaWS",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -258,7 +280,12 @@
"metadata": {
"id": "IjnLH5S2CaWx",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -284,7 +311,12 @@
"metadata": {
"id": "zW5k_xz1CaWX",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -307,7 +339,12 @@
"metadata": {
"id": "TRFYHB2mCaWb",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -330,7 +367,12 @@
"metadata": {
"id": "XKnCTHz4CaWg",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -353,7 +395,12 @@
"metadata": {
"id": "2KFnYlcwCaWl",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -376,7 +423,12 @@
"metadata": {
"id": "iJmPr5-ACaWn",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -401,7 +453,12 @@
"metadata": {
"id": "m4VEw8Ud9Quh",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"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": {
"startup": false,
"wait_interval": 0
}
}
},
"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 @@
"metadata": {
"id": "oZTImqg_CaW1",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -527,7 +578,12 @@
"metadata": {
"id": "9ODch-OFCaW4",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -564,7 +620,12 @@
"metadata": {
"id": "Lhan11blCaW7",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -597,7 +658,12 @@
"metadata": {
"id": "xvwvpA64CaW_",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -632,7 +698,12 @@
"metadata": {
"id": "VflXLEeECaXC",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -669,7 +740,12 @@
"metadata": {
"id": "Gl91RPhdCaXI",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -692,7 +768,12 @@
"metadata": {
"id": "3DmJEUinCaXK",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -715,7 +796,12 @@
"metadata": {
"id": "qsqenuPnCaXO",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -738,7 +824,12 @@
"metadata": {
"id": "Sd7Pgsu6CaXP",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -761,7 +852,12 @@
"metadata": {
"id": "YGBDAiziCaXR",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -802,7 +898,12 @@
"metadata": {
"id": "yRJ7JU7JCaXT",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -828,7 +929,12 @@
"metadata": {
"id": "lDFh5yF_CaXW",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -854,7 +960,12 @@
"metadata": {
"id": "o_rzNSdrCaXY",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -879,7 +990,12 @@
"metadata": {
"id": "2tRmdq_8CaXb",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......@@ -904,7 +1020,12 @@
"metadata": {
"id": "fzHAx2M99WCd",
"colab_type": "code",
"colab": {}
"colab": {
"autoexec": {
"startup": false,
"wait_interval": 0
}
}
},
"cell_type": "code",
"source": [
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment