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[WIP] Modifying activation methods and inserting a layer #11

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[WIP] Modifying activation methods and inserting a layer #11

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9dfd68d
Modifying activation methods and inserting a layer
cjjcastro Apr 5, 2019
098b7fd
Add ann in jupyter notebook
cjjcastro Apr 27, 2019
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29 changes: 20 additions & 9 deletions ArtificialNeuralNetwork.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -120,9 +120,9 @@
"# Adding the input layer and the first hidden layer\n",
"classifier.add(Dense(units = 6, kernel_initializer = 'uniform', activation = 'relu', input_dim = 11))\n",
"\n",
"# Adding the second hidden layer\n",
"classifier.add(Dense(units = 6, kernel_initializer = 'uniform', activation = 'relu'))\n",
"\n",
"# Adding the second and third hidden layer\n",
"classifier.add(Dense(units = 6, kernel_initializer = 'uniform', activation = 'tanh'))\n",
"classifier.add(Dense(units = 6, kernel_initializer = 'uniform', activation = 'tanh'))\n",
"# Adding the output layer\n",
"classifier.add(Dense(units = 1, kernel_initializer = 'uniform', activation = 'sigmoid'))\n",
"\n",
Expand Down Expand Up @@ -155,15 +155,26 @@
"\n",
"# Making the Confusion Matrix\n",
"from sklearn.metrics import confusion_matrix\n",
"cm = confusion_matrix(y_test, y_pred)"
"cm = confusion_matrix(y_test, y_pred)\n",
"print(cm)"
]
},
{
"cell_type": "code",
"execution_count": null,
"cell_type": "markdown",
"metadata": {},
"outputs": [],
"source": []
"source": [
"1 relu = [[1505 90]\n",
" [ 196 209]] = 85,7%\n",
" \n",
"2 relu = [[1556 39]\n",
" [ 278 127]] = 84,15%\n",
" \n",
"1 tanh = [[1526 69]\n",
" [ 206 199]] = 86,25%\n",
" \n",
"2 tanh = [[1544 51]\n",
" [ 258 147]] = 84,55%"
]
}
],
"metadata": {
Expand All @@ -182,7 +193,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
"version": "3.5.3"
}
},
"nbformat": 4,
Expand Down
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