Feat: Implement DataLoader for FashionMNIST.

 Changes to be committed:
	new file:   DataLoader.ipynb

Author: dheeraj-coding

DataLoader.ipynb

@@ -0,0 +1,64 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from mxnet import gluon\n",
+    "from mxnet.gluon.data.vision import transforms"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def load_data_iter(num_workers, batch_size, shuffle=True):\n",
+    "    transformer = transforms.Compose([\n",
+    "        transforms.ToTensor()\n",
+    "    ])\n",
+    "    train = gluon.data.vision.datasets.FashionMNIST(train=True)\n",
+    "    train.transform_first(transformer)\n",
+    "    test = gluon.data.vision.datasets.FashionMNIST(train=False)\n",
+    "    test.transform_first(transformer)\n",
+    "    train_iter = gluon.data.DataLoader(train, batch_size, shuffle=shuffle, num_workers=num_workers)\n",
+    "    test_iter = gluon.data.DataLoader(train, batch_size, shuffle=shuffle, num_workers=num_workers)\n",
+    "    return train_iter, test_iter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_iter, test_iter = load_data_iter(4, 10)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}