update samples from Release-130 as a part of SDK release

tutorials/compute-instance-quickstarts/quickstart-azureml-in-10mins/utils.py

@@ -0,0 +1,24 @@
+import gzip
+import numpy as np
+import struct
+
+
+# load compressed MNIST gz files and return numpy arrays
+def load_data(filename, label=False):
+    with gzip.open(filename) as gz:
+        struct.unpack("I", gz.read(4))
+        n_items = struct.unpack(">I", gz.read(4))
+        if not label:
+            n_rows = struct.unpack(">I", gz.read(4))[0]
+            n_cols = struct.unpack(">I", gz.read(4))[0]
+            res = np.frombuffer(gz.read(n_items[0] * n_rows * n_cols), dtype=np.uint8)
+            res = res.reshape(n_items[0], n_rows * n_cols)
+        else:
+            res = np.frombuffer(gz.read(n_items[0]), dtype=np.uint8)
+            res = res.reshape(n_items[0], 1)
+    return res
+
+
+# one-hot encode a 1-D array
+def one_hot_encode(array, num_of_classes):
+    return np.eye(num_of_classes)[array.reshape(-1)]