Merge branch 'master' of github.com:ageron/handson-ml2
commit
df651cafb6
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@ -533,7 +533,7 @@
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"\n",
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"\n",
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"prices = housing[\"median_house_value\"]\n",
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"prices = housing[\"median_house_value\"]\n",
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"tick_values = np.linspace(prices.min(), prices.max(), 11)\n",
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"tick_values = np.linspace(prices.min(), prices.max(), 11)\n",
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"cbar = plt.colorbar()\n",
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"cbar = plt.colorbar(ticks=tick_values/prices.max())\n",
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"cbar.ax.set_yticklabels([\"$%dk\"%(round(v/1000)) for v in tick_values], fontsize=14)\n",
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"cbar.ax.set_yticklabels([\"$%dk\"%(round(v/1000)) for v in tick_values], fontsize=14)\n",
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"cbar.set_label('Median House Value', fontsize=16)\n",
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"cbar.set_label('Median House Value', fontsize=16)\n",
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"\n",
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"\n",
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@ -27,7 +27,7 @@ If you have a TensorFlow-compatible GPU card (NVidia card with Compute Capabilit
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If you want to use a GPU then you should also edit environment.yml (or environment-windows.yml if you're on Windows), located at the root of the handson-ml2 project, replace tensorflow=2.0.0 with tensorflow-gpu=2.0.0, and replace tensorflow-serving-api==2.0.0 with tensorflow-serving-api-gpu==2.0.0. This will not be needed anymore when TensorFlow 2.1 is released.
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If you want to use a GPU then you should also edit environment.yml (or environment-windows.yml if you're on Windows), located at the root of the handson-ml2 project, replace tensorflow=2.0.0 with tensorflow-gpu=2.0.0, and replace tensorflow-serving-api==2.0.0 with tensorflow-serving-api-gpu==2.0.0. This will not be needed anymore when TensorFlow 2.1 is released.
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## Create the tf2 Environment
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## Create the tf2 Environment
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Next, make sure you're in the handson-ml2 directory and run the following command. It will create a new `conda` enviromnent containing every library you will need to run all the notebooks (by default, the environment will be named `tf2`, but you can choose another name using the `-n` option):
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Next, make sure you're in the handson-ml2 directory and run the following command. It will create a new `conda` environment containing every library you will need to run all the notebooks (by default, the environment will be named `tf2`, but you can choose another name using the `-n` option):
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$ conda env create -f environment.yml # or environment-windows.yml on Windows
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$ conda env create -f environment.yml # or environment-windows.yml on Windows
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