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update samples from Release-44 as a part of SDK release

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vizhur
2020-04-17 19:45:37 +00:00
parent b881f78e46
commit 24f8651bb5
2 changed files with 10 additions and 6 deletions
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11
tutorials/image-classification-mnist-data/img-classification-part1-training.ipynb
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@@ -239,12 +239,15 @@
"source": [ "source": [
"# make sure utils.py is in the same directory as this code\n", "# make sure utils.py is in the same directory as this code\n",
"from utils import load_data\n", "from utils import load_data\n",
"import glob\n",
"\n",
"\n", "\n",
"# note we also shrink the intensity values (X) from 0-255 to 0-1. This helps the model converge faster.\n", "# note we also shrink the intensity values (X) from 0-255 to 0-1. This helps the model converge faster.\n",
"X_train = load_data(os.path.join(data_folder, \"train-images-idx3-ubyte.gz\"), False) / 255.0\n", "X_train = load_data(glob.glob(os.path.join(data_folder,\"**/train-images-idx3-ubyte.gz\"), recursive=True)[0], False) / 255.0\n",
"X_test = load_data(os.path.join(data_folder, \"t10k-images-idx3-ubyte.gz\"), False) / 255.0\n", "X_test = load_data(glob.glob(os.path.join(data_folder,\"**/t10k-images-idx3-ubyte.gz\"), recursive=True)[0], False) / 255.0\n",
"y_train = load_data(os.path.join(data_folder, \"train-labels-idx1-ubyte.gz\"), True).reshape(-1)\n", "y_train = load_data(glob.glob(os.path.join(data_folder,\"**/train-labels-idx1-ubyte.gz\"), recursive=True)[0], True).reshape(-1)\n",
"y_test = load_data(os.path.join(data_folder, \"t10k-labels-idx1-ubyte.gz\"), True).reshape(-1)\n", "y_test = load_data(glob.glob(os.path.join(data_folder,\"**/t10k-labels-idx1-ubyte.gz\"), recursive=True)[0], True).reshape(-1)\n",
"\n",
"\n", "\n",
"# now let's show some randomly chosen images from the traininng set.\n", "# now let's show some randomly chosen images from the traininng set.\n",
"count = 0\n", "count = 0\n",

5
tutorials/image-classification-mnist-data/img-classification-part2-deploy.ipynb
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@@ -308,11 +308,12 @@
"source": [ "source": [
"from utils import load_data\n", "from utils import load_data\n",
"import os\n", "import os\n",
"import glob\n",
"\n", "\n",
"data_folder = os.path.join(os.getcwd(), 'data')\n", "data_folder = os.path.join(os.getcwd(), 'data')\n",
"# note we also shrink the intensity values (X) from 0-255 to 0-1. This helps the neural network converge faster\n", "# note we also shrink the intensity values (X) from 0-255 to 0-1. This helps the neural network converge faster\n",
"X_test = load_data(os.path.join(data_folder, 't10k-images-idx3-ubyte.gz'), False) / 255.0\n", "X_test = load_data(glob.glob(os.path.join(data_folder,\"**/t10k-images-idx3-ubyte.gz\"), recursive=True)[0], False) / 255.0\n",
"y_test = load_data(os.path.join(data_folder, 't10k-labels-idx1-ubyte.gz'), True).reshape(-1)" "y_test = load_data(glob.glob(os.path.join(data_folder,\"**/t10k-labels-idx1-ubyte.gz\"), recursive=True)[0], True).reshape(-1)"
] ]
}, },
{ {