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2023-07-25 14:52:03 -04:00
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Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb
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@@ -4,7 +4,7 @@
"metadata": { "metadata": {
"colab": { "colab": {
"provenance": [], "provenance": [],
"authorship_tag": "ABX9TyMF633wobzK487PJntQBvLE", "authorship_tag": "ABX9TyNOuYI+f5s+3nRgO9UHi7ka",
"include_colab_link": true "include_colab_link": true
}, },
"kernelspec": { "kernelspec": {
@@ -31,7 +31,7 @@
"source": [ "source": [
"# **Notebook 3.1 -- Shallow neural networks I**\n", "# **Notebook 3.1 -- Shallow neural networks I**\n",
"\n", "\n",
"The purpose of this notebook is to gain some familiarity with shallow neural networks with 2D inputs. It works through an example similar to figure 3.8 and experiments with different activation functions. <br>\n", "The purpose of this notebook is to gain some familiarity with shallow neural networks with 1D inputs. It works through an example similar to figure 3.3 and experiments with different activation functions. <br>\n",
"\n", "\n",
"Work through the cells below, running each cell in turn. In various places you will see the words \"TO DO\". Follow the instructions at these places and write code to complete the functions. There are also questions interspersed in the text.\n", "Work through the cells below, running each cell in turn. In various places you will see the words \"TO DO\". Follow the instructions at these places and write code to complete the functions. There are also questions interspersed in the text.\n",
"\n", "\n",