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lab 4

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pswietojanski 2015-11-01 19:29:42 +00:00
parent faaa6cb172
commit 9e22b43205
1 changed files with 5 additions and 60 deletions
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65
03_MLP_Coursework1.ipynb
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@ -78,7 +78,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"metadata": {
"collapsed": false
},
@ -146,39 +146,7 @@
},
"outputs": [],
"source": [
"# %load -s Sigmoid mlp/layers.py\n",
"class Sigmoid(Linear):\n",
" def __init__(self, idim, odim,\n",
" rng=None,\n",
" irange=0.1):\n",
"\n",
" super(Sigmoid, self).__init__(idim, odim, rng, irange)\n",
" \n",
" def fprop(self, inputs):\n",
" a = super(Sigmoid, self).fprop(inputs)\n",
" h = 1.0/(1 + numpy.exp(-a))\n",
" return h\n",
" \n",
" def bprop(self, h, igrads):\n",
" dsigm = h*(1.0 - h)\n",
" deltas = igrads*dsigm\n",
" ___, ograds = super(Sigmoid, self).bprop(h=None, igrads=deltas)\n",
" return deltas, ograds\n",
"\n",
" def cost_bprop(self, h, igrads, cost):\n",
" if cost is None or cost.get_name() == 'bce':\n",
" return super(Sigmoid, self).bprop(h=h, igrads=igrads)\n",
" else:\n",
" raise NotImplementedError('Sigmoid.bprop_cost method not implemented '\n",
" 'for the %s cost' % cost.get_name())\n",
"\n",
" def pgrads(self, inputs, deltas):\n",
" \"Return list of gradients w.r.t parameters\"\n",
" gparams = super(Sigmoid, self).pgrads(inputs, deltas)\n",
" return gparams\n",
"\n",
" def get_name(self):\n",
" return 'sigmoid'\n"
"%load -s Sigmoid mlp/layers.py"
]
},
{
@ -194,26 +162,11 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": null,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"1.0\n",
"0.0\n",
"0.0744177068753\n",
"[ 4.571e-05 1.697e-03 9.877e-01 6.631e-04 1.194e-04 8.880e-04\n",
" 1.977e-04 8.671e-03]\n",
"[ 4.571e-05 1.697e-03 9.877e-01 6.631e-04 1.194e-04 8.880e-04\n",
" 1.977e-04 -9.913e-01]\n",
"[-0.089 0.03 0.079 0.011 0.017 0.027]\n"
]
}
],
"outputs": [],
"source": [
"from mlp.layers import Softmax\n",
"\n",
@ -251,15 +204,7 @@
},
"outputs": [],
"source": [
"%load -s Softmax mlp/layers.py\n",
"1.0\n",
"-1.11022302463e-16\n",
"0.0744177068753\n",
"[ 4.571e-05 1.697e-03 9.877e-01 6.631e-04 1.194e-04 8.880e-04\n",
" 1.977e-04 8.671e-03]\n",
"[ 4.571e-05 1.697e-03 9.877e-01 6.631e-04 1.194e-04 8.880e-04\n",
" 1.977e-04 -9.913e-01]\n",
"[-0.089 0.03 0.079 0.011 0.017 0.027]"
"%load -s Softmax mlp/layers.py"
]
},
{