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udlbook
2023-11-20 21:05:39 +00:00
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CM20315_2023/CM20315_Coursework_III.ipynb
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@@ -4,7 +4,7 @@
"metadata": { "metadata": {
"colab": { "colab": {
"provenance": [], "provenance": [],
"authorship_tag": "ABX9TyM4iym9JS6lh/helwOU1CL9", "authorship_tag": "ABX9TyNDH1z3I76jjglu3o0LSlZc",
"include_colab_link": true "include_colab_link": true
}, },
"kernelspec": { "kernelspec": {
@@ -33,7 +33,7 @@
"\n", "\n",
"The goal of the coursework is to modify a simple bit of numpy code that trains a network and measures the performance on a validation set for the MNist 1D dataset.\n", "The goal of the coursework is to modify a simple bit of numpy code that trains a network and measures the performance on a validation set for the MNist 1D dataset.\n",
"\n", "\n",
"In this coursework, you need add **regularization** of some kind to improve the performance. Anything from chapter 8 of the book or anything else you can find is fine *except* early stopping. You must not change the model hyperparameters or the training algorithm.\n", "In this coursework, you need add **regularization** of some kind to improve the performance. Anything from chapter 9 of the book or anything else you can find is fine *except* early stopping. You must not change the model hyperparameters or the training algorithm.\n",
"\n", "\n",
"You must improve the performance by at least 2% to get full marks.\n", "You must improve the performance by at least 2% to get full marks.\n",
"\n", "\n",