LayerNormalization is not experimental anymore

main
Aurélien Geron 2019-06-06 11:06:13 +08:00
parent fb47fab0c8
commit 0615a6f0a1
1 changed files with 4 additions and 3 deletions

View File

@ -473,9 +473,10 @@
" n_steps = X.shape[1]\n",
" ahead = Y.shape[1]\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[0, :, 0], \"bx-\", markersize=10)\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-\", label=\"Forecast\", markersize=10)\n",
" plt.axis([0, n_steps + ahead, -1, 1])\n",
" plt.legend(fontsize=14)\n",
"\n",
"plot_multiple_forecasts(X_new, Y_new, Y_pred)\n",
"save_fig(\"forecast_ahead_plot\")\n",
@ -668,7 +669,7 @@
"metadata": {},
"outputs": [],
"source": [
"from tensorflow.keras.layers.experimental import LayerNormalization"
"from tensorflow.keras.layers import LayerNormalization"
]
},
{