From 99937282d10f45c1b89fe6d13398bc0e637ba22b Mon Sep 17 00:00:00 2001
From: Mirko Birbaumer <mirko.birbaumer@hslu.ch>
Date: Tue, 26 Apr 2022 14:59:06 +0000
Subject: [PATCH] Commenting of exercises
---
.../Exercises Block 2 - Neural Networks.ipynb | 44 +++++++++++++++++++
.../Solutions to Exercises - Block 2.ipynb | 15 +------
2 files changed, 46 insertions(+), 13 deletions(-)
diff --git a/notebooks/Block_2/Exercises Block 2 - Neural Networks.ipynb b/notebooks/Block_2/Exercises Block 2 - Neural Networks.ipynb
index 683552c..f0aacd7 100644
--- a/notebooks/Block_2/Exercises Block 2 - Neural Networks.ipynb
+++ b/notebooks/Block_2/Exercises Block 2 - Neural Networks.ipynb
@@ -700,6 +700,50 @@
"plt.plot(x_pred, y_pred)"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "print(model.get_weights())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "w_val = model.get_weights()[0]\n",
+ "b_val = model.get_weights()[1]\n",
+ "plt.plot(data[:,0], data[:,1], 'o')\n",
+ "plt.axis([40, 85, -0.1, 1.2])\n",
+ "x_pred = np.linspace(40,85)\n",
+ "x_pred = np.resize(x_pred,[len(x_pred),1])\n",
+ "y_pred = 1 / (1 + np.exp(-x_pred*w_val - b_val))\n",
+ "plt.plot(x_pred, y_pred)\n",
+ "\n",
+ "# predicted probabilities\n",
+ "p_1 = 1 / (1 + np.exp(-x*w_val - b_val))\n",
+ "\n",
+ "# cross-entropy loss function\n",
+ "cross_entropy = -np.mean(y * np.log(p_1) + (1-y) * np.log(1-p_1))\n",
+ "print(\"Cross-entropy: \", cross_entropy)\n",
+ "y_pred = np.round(p_1, decimals=0).astype('int')\n",
+ "accuracy = np.mean(y==y_pred)\n",
+ "print(\"Accuracy: \", accuracy)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model.evaluate(x, y)"
+ ]
+ },
{
"cell_type": "markdown",
"metadata": {},
diff --git a/notebooks/Block_2/Solutions to Exercises - Block 2.ipynb b/notebooks/Block_2/Solutions to Exercises - Block 2.ipynb
index 1d12dd3..cac74e5 100644
--- a/notebooks/Block_2/Solutions to Exercises - Block 2.ipynb
+++ b/notebooks/Block_2/Solutions to Exercises - Block 2.ipynb
@@ -792,20 +792,9 @@
},
{
"cell_type": "code",
- "execution_count": 92,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<keras.callbacks.History at 0x7ff9e419c450>"
- ]
- },
- "execution_count": 92,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
+ "outputs": [],
"source": [
"l0 = tf.keras.layers.Dense(units=1, activation = tf.nn.sigmoid, input_shape=[1])\n",
"model = tf.keras.Sequential([l0])\n",
--
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