mantao/Plots.jl
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nnet

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This commit is contained in:
Thomas Breloff 2015-10-26 01:40:12 -04:00
parent 96c66b33a2
commit a3a8cb9368
1 changed files with 3 additions and 3 deletions
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examples/meetup/nnet.ipynb
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@ -37,7 +37,7 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"# these are the functions we want to classify\n", "# these are the functions we want to classify\n",
"scalar = 10 # larger is harder\n", "scalar = 5 # larger is harder\n",
"noise = Distributions.Normal(0, 0.05)\n", "noise = Distributions.Normal(0, 0.05)\n",
"\n", "\n",
"# # problem #1... non-overlapping\n", "# # problem #1... non-overlapping\n",
@ -70,7 +70,7 @@
"# pick the plotting limits\n", "# pick the plotting limits\n",
"lim = (-1,1)\n", "lim = (-1,1)\n",
"funcs = [f1, f2]\n", "funcs = [f1, f2]\n",
"n = 40\n", "n = 20\n",
"gridx, gridy = gridxy(lim, n)\n", "gridx, gridy = gridxy(lim, n)\n",
"# default(xlim = lim, ylim = lim)\n", "# default(xlim = lim, ylim = lim)\n",
"\n", "\n",
@ -126,7 +126,7 @@
"net = buildTanhClassificationNet(\n", "net = buildTanhClassificationNet(\n",
" 2, # number of inputs\n", " 2, # number of inputs\n",
" 1, # number of outputs\n", " 1, # number of outputs\n",
" [100,100,2], # hidden layers structure\n", " [2,2,2,2,2,2], # hidden layers structure\n",
" params = NetParams(gradientModel = gradientModel)\n", " params = NetParams(gradientModel = gradientModel)\n",
")" ")"
] ]