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udlbook
2024-06-17 15:11:34 -04:00
parent bb32fe0cdf
commit 1cf21ea61a
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Notebooks/Chap15/15_1_GAN_Toy_Example.ipynb
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@@ -4,7 +4,6 @@
"metadata": { "metadata": {
"colab": { "colab": {
"provenance": [], "provenance": [],
"authorship_tag": "ABX9TyM0StKV3FIZ3MZqfflqC0Rv",
"include_colab_link": true "include_colab_link": true
}, },
"kernelspec": { "kernelspec": {
@@ -339,7 +338,7 @@
" print(\"Initial generator loss = \", compute_generator_loss(z, theta, phi0, phi1))\n", " print(\"Initial generator loss = \", compute_generator_loss(z, theta, phi0, phi1))\n",
" for iter in range(n_iter):\n", " for iter in range(n_iter):\n",
" # Get gradient\n", " # Get gradient\n",
" dl_dtheta = compute_generator_gradient(x_real, x_syn, phi0, phi1)\n", " dl_dtheta = compute_generator_gradient(z, theta, phi0, phi1)\n",
" # Take a gradient step (uphill, since we are trying to make synthesized data less well classified by discriminator)\n", " # Take a gradient step (uphill, since we are trying to make synthesized data less well classified by discriminator)\n",
" theta = theta + alpha * dl_dtheta ;\n", " theta = theta + alpha * dl_dtheta ;\n",
"\n", "\n",