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udlbook
2023-11-13 21:29:35 +00:00
parent b9238e35dc
commit fe9fd3da8b
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Notebooks/Chap07/7_2_Backpropagation.ipynb
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@@ -4,7 +4,7 @@
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyM8DZv6WppyaQxi8igoKV+X",
"authorship_tag": "ABX9TyPOadzPTZy+kvsBZs5D7n5M",
"include_colab_link": true
},
"kernelspec": {
@@ -254,7 +254,7 @@
" # REPLACE THIS LINE\n",
" all_dl_dbiases[layer] = np.zeros_like(all_biases[layer])\n",
"\n",
" # TODO Calculate the derivatives of the loss with respect to the weights at layer from all_dl_df[K] and all_h[K] (eq 7.22)\n",
" # TODO Calculate the derivatives of the loss with respect to the weights at layer from all_dl_df[layer] and all_h[layer] (eq 7.22)\n",
" # Don't forget to use np.matmul\n",
" # REPLACE THIS LINE\n",
" all_dl_dweights[layer] = np.zeros_like(all_weights[layer])\n",