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LayerNormalization is not experimental anymore

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Aurélien Geron 2019-06-06 11:06:13 +08:00
parent fb47fab0c8
commit 0615a6f0a1
1 changed files with 4 additions and 3 deletions
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7
15_processing_sequences_using_rnns_and_cnns.ipynb
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@ -473,9 +473,10 @@
" n_steps = X.shape[1]\n", " n_steps = X.shape[1]\n",
" ahead = Y.shape[1]\n", " ahead = Y.shape[1]\n",
" plot_series(X[0, :, 0])\n", " plot_series(X[0, :, 0])\n",
" plt.plot(np.arange(n_steps, n_steps + ahead), Y_pred[0, :, 0], \"ro-\")\n", " plt.plot(np.arange(n_steps, n_steps + ahead), Y_pred[0, :, 0], \"ro-\", label=\"Actual\")\n",
" plt.plot(np.arange(n_steps, n_steps + ahead), Y[0, :, 0], \"bx-\", markersize=10)\n", " plt.plot(np.arange(n_steps, n_steps + ahead), Y[0, :, 0], \"bx-\", label=\"Forecast\", markersize=10)\n",
" plt.axis([0, n_steps + ahead, -1, 1])\n", " plt.axis([0, n_steps + ahead, -1, 1])\n",
" plt.legend(fontsize=14)\n",
"\n", "\n",
"plot_multiple_forecasts(X_new, Y_new, Y_pred)\n", "plot_multiple_forecasts(X_new, Y_new, Y_pred)\n",
"save_fig(\"forecast_ahead_plot\")\n", "save_fig(\"forecast_ahead_plot\")\n",
@ -668,7 +669,7 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"from tensorflow.keras.layers.experimental import LayerNormalization" "from tensorflow.keras.layers import LayerNormalization"
] ]
}, },
{ {