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udlbook
2023-10-12 18:07:26 +01:00
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commit af77c76435
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7
Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb
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@@ -4,7 +4,7 @@
"metadata": { "metadata": {
"colab": { "colab": {
"provenance": [], "provenance": [],
"authorship_tag": "ABX9TyMaBcw5e/SBWZVAXWbs5YSn", "authorship_tag": "ABX9TyM+98aMABiK5vNFFYAwiPiL",
"include_colab_link": true "include_colab_link": true
}, },
"kernelspec": { "kernelspec": {
@@ -301,8 +301,9 @@
"source": [ "source": [
"# Least squares function\n", "# Least squares function\n",
"def least_squares_loss(y_train, y_predict):\n", "def least_squares_loss(y_train, y_predict):\n",
" # TODO Replace the line below to use compute the sum of squared\n", " # TODO Replace the line below to compute the sum of squared\n",
" # differences between the real and predicted values of y\n", " # differences between the real values of y and the predicted values from the model f[x_i,phi]\n",
" # (see figure 2.2 of the book)\n",
" # you will need to use the function np.sum\n", " # you will need to use the function np.sum\n",
" loss = 0\n", " loss = 0\n",
"\n", "\n",