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pswietojanski 2015-10-26 12:25:13 +00:00
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commit ea7f740e7c
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02_MNIST_SLN_solution.ipynb
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@ -295,8 +295,8 @@
"# and mean square error cost\n", "# and mean square error cost\n",
"cost = MSECost()\n", "cost = MSECost()\n",
"model = MLP(cost=cost)\n", "model = MLP(cost=cost)\n",
"model.add_layer(Linear(idim=784, odim=100, rng=rng))\n", "model.add_layer(Linear(idim=784, odim=200, rng=rng))\n",
"model.add_layer(Linear(idim=100, odim=10, rng=rng))\n", "model.add_layer(Linear(idim=200, odim=10, rng=rng))\n",
"\n", "\n",
"# define the optimiser, here stochasitc gradient descent\n", "# define the optimiser, here stochasitc gradient descent\n",
"# with fixed learning rate and max_epochs as stopping criterion\n", "# with fixed learning rate and max_epochs as stopping criterion\n",