Merge pull request #930 from Azure/release_update/Release-44

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

tutorials/image-classification-mnist-data/img-classification-part1-training.ipynb

@@ -239,12 +239,15 @@
       "source": [
         "# make sure utils.py is in the same directory as this code\n",
         "from utils import load_data\n",
+        "import glob\n",
+        "\n",
         "\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",
         "# now let's show some randomly chosen images from the traininng set.\n",
         "count = 0\n",

tutorials/image-classification-mnist-data/img-classification-part2-deploy.ipynb

@@ -308,11 +308,12 @@
       "source": [
         "from utils import load_data\n",
         "import os\n",
+        "import glob\n",
         "\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",
-        "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)"
       ]
     },
     {