demo_simple_gan.py.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Simple GAN\n",
    "====="
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import simple_gan\n",
    "import IPython"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
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   "outputs": [],
   "source": [
    "g = simple_gan.SimpleGAN()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for j in range(1000):\n",
    "    print(\"j: {}\".format(j))\n",
    "    for i in range(1000):\n",
    "        g.train_both(32)\n",
    "    IPython.display.clear_output()\n",
    "    print(\"d_loss: {}\".format(g.d_loss_curr))\n",
    "    print(\"g_loss: {}\".format(g.g_loss_curr))\n",
    "    g.plot_samples()"
   ]
  }
 ],
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