{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import mxnet as mx"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"data = mx.sym.Variable('data')\n",
"net = data\n",
"pavg = mx.sym.Pooling(net, pool_type='avg', kernel=(8,8))\n",
"pmax = mx.sym.Pooling(net, pool_type='max', kernel=(8,8))\n",
"pavg = mx.sym.Flatten(pavg)\n",
"pmax = mx.sym.Flatten(pmax)\n",
"pmax = mx.sym.Activation(pmax, act_type='relu')\n",
"net = pavg + pmax\n",
"out = mx.sym.SoftmaxOutput(net)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false,
"scrolled": false
},
"outputs": [
{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mx.viz.plot_network(\n",
" out,\n",
" node_attrs={'fixedsize': 'fasle'}\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data = mx.sym.Variable('data')\n",
"net = data\n",
"fco = []\n",
"smo = []\n",
"cum = None\n",
"for ii in range(3):\n",
" if ii > 0:\n",
" if cum is None:\n",
" cum = pos\n",
" else:\n",
" cum = cum + pos\n",
" net = mx.sym.Concat(*[net, cum])\n",
" neg = mx.sym.FullyConnected(net, num_hidden=1)\n",
" pos = mx.sym.FullyConnected(net, num_hidden=1)\n",
" fco.append(mx.sym.Concat(*[neg, pos]))\n",
" smo.append(mx.sym.SoftmaxOutput(fco[ii]))\n",
"out = mx.sym.Group(smo)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/svg+xml": [
"\n",
"\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"mx.viz.plot_network(\n",
" out,\n",
" node_attrs={'fixedsize': 'fasle'}\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"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": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}