make run on GPU

Author: benman1

chapter10/RNN.ipynb

@@ -92,13 +92,17 @@
     "callback = tf.keras.callbacks.EarlyStopping(monitor='loss', patience=3)\n",
     "\n",
     "def create_model(passengers):\n",
-    "  input_layer = Input(shape=(LOOKBACK, 1))\n",
-    "  recurrent = Bidirectional(LSTM(20, activation=\"relu\"))(input_layer)\n",
-    "  output_layer = Dense(1)(recurrent)\n",
-    "  model = keras.models.Model(inputs=input_layer, outputs=output_layer)\n",
-    "  model.compile(loss='mse', optimizer=keras.optimizers.Adagrad(),\n",
-    "    metrics=[keras.metrics.RootMeanSquaredError(), keras.metrics.MeanAbsoluteError()])\n",
-    "  return model\n",
+    "    input_layer = Input(shape=(LOOKBACK, 1))\n",
+    "    recurrent = Bidirectional(LSTM(20, activation=\"tanh\"))(input_layer)\n",
+    "    output_layer = Dense(1)(recurrent)\n",
+    "    model = keras.models.Model(inputs=input_layer, outputs=output_layer)\n",
+    "    model.compile(\n",
+    "        loss='mse', optimizer=keras.optimizers.Adagrad(),\n",
+    "        metrics=[\n",
+    "            keras.metrics.RootMeanSquaredError(),\n",
+    "            keras.metrics.MeanAbsoluteError()\n",
+    "    ])\n",
+    "    return model\n",
     "\n",
     "model = create_model(passengers)"
    ]