Update 15_1_GAN_Toy_Example.ipynb
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@@ -31,7 +31,7 @@
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"source": [
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"# **Notebook 15.1: GAN Toy example**\n",
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"\n",
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"This notebook investigates the GAN toy example as illustred in figure 15.1 in the book.\n",
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"This notebook investigates the GAN toy example as illustrated in figure 15.1 in the book.\n",
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"\n",
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"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 make predictions about what is going to happen or write code to complete the functions.\n",
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"\n",
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@@ -101,7 +101,7 @@
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{
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"cell_type": "markdown",
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"source": [
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"Now, we define our disriminator. This is a simple logistic regression model (1D linear model passed through sigmoid) that returns the probability that the data is real"
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"Now, we define our discriminator. This is a simple logistic regression model (1D linear model passed through sigmoid) that returns the probability that the data is real"
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],
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"metadata": {
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"id": "Xrzd8aehYAYR"
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@@ -387,7 +387,7 @@
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"print(\"Final parameters (phi0,phi1)\", phi0, phi1)\n",
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"for c_gan_iter in range(5):\n",
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"\n",
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" # Run generator to product syntehsized data\n",
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" # Run generator to product synthesized data\n",
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" x_syn = generator(z, theta)\n",
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" draw_data_model(x_real, x_syn, phi0, phi1)\n",
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"\n",
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