integration-tests/examples/test_templates/deeplearning/template_cntk.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": [
    "from IPython.display import Image\n",
    "# Figure 1\n",
    "Image(url=\"https://www.cntk.ai/jup/cancer_data_plot.jpg\", width=400, height=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Figure 2\n",
    "Image(url= \"https://www.cntk.ai/jup/cancer_classify_plot.jpg\", width=400, height=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Figure 3\n",
    "Image(url= \"https://www.cntk.ai/jup/logistic_neuron.jpg\", width=300, height=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import the relevant components\n",
    "from __future__ import print_function\n",
    "import numpy as np\n",
    "import sys\n",
    "import os\n",
    "from cntk import *\n",
    "\n",
    "# Select the right target device when this notebook is being tested:\n",
    "if 'TEST_DEVICE' in os.environ:\n",
    "    import cntk\n",
    "    if os.environ['TEST_DEVICE'] == 'cpu':\n",
    "        cntk.device.try_set_default_device(cntk.device.cpu())\n",
    "    else:\n",
    "        cntk.device.try_set_default_device(cntk.device.gpu(0))"
   ]
  }
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