Update plot model files

keras-team · Aug 10, 2023 · 28657ed · 28657ed
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commit 28657ed
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Showing 5 changed files with 179 additions and 166 deletions.
diff --git a/.../structured_data/img/wide_deep_cross_networks/wide_deep_cross_networks_24_1.png b/.../structured_data/img/wide_deep_cross_networks/wide_deep_cross_networks_24_1.png
diff --git a/.../structured_data/img/wide_deep_cross_networks/wide_deep_cross_networks_29_1.png b/.../structured_data/img/wide_deep_cross_networks/wide_deep_cross_networks_29_1.png
diff --git a/.../structured_data/img/wide_deep_cross_networks/wide_deep_cross_networks_34_1.png b/.../structured_data/img/wide_deep_cross_networks/wide_deep_cross_networks_34_1.png
diff --git a/examples/structured_data/ipynb/wide_deep_cross_networks.ipynb b/examples/structured_data/ipynb/wide_deep_cross_networks.ipynb
@@ -293,7 +293,6 @@
    "source": [
     "\n",
     "def get_dataset_from_csv(csv_file_path, batch_size, shuffle=False):\n",
-    "\n",
     "    dataset = tf.data.experimental.make_csv_dataset(\n",
     "        csv_file_path,\n",
     "        batch_size=batch_size,\n",
@@ -335,7 +334,6 @@
     "\n",
     "\n",
     "def run_experiment(model):\n",
-    "\n",
     "    model.compile(\n",
     "        optimizer=keras.optimizers.Adam(learning_rate=learning_rate),\n",
     "        loss=keras.losses.SparseCategoricalCrossentropy(),\n",
@@ -557,7 +555,6 @@
    "source": [
     "\n",
     "def create_wide_and_deep_model():\n",
-    "\n",
     "    inputs = create_model_inputs()\n",
     "    wide = encode_inputs(inputs)\n",
     "    wide = layers.BatchNormalization()(wide)\n",
@@ -632,7 +629,6 @@
    "source": [
     "\n",
     "def create_deep_and_cross_model():\n",
-    "\n",
     "    inputs = create_model_inputs()\n",
     "    x0 = encode_inputs(inputs, use_embedding=True)\n",
     "\n",