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AdeniyiAhmod · Mar 2, 2020 · 0f7949f · 0f7949f
1 parent 2ee9d69
commit 0f7949f
Showing 1 changed file with 83 additions and 32 deletions.
diff --git a/notebooks/tf2savedModel.ipynb b/notebooks/tf2savedModel.ipynb
@@ -109,20 +109,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Using default tag: latest\n",
-      "Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?\n",
-      "docker: Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?.\n",
-      "See 'docker run --help'.\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "!docker pull tensorflow/serving\n",
     "!docker run -t --rm -p 8501:8501 -v \"$(pwd)/mymodel/:/models/mymodel\" -e MODEL_NAME=mymodel tensorflow/serving"
@@ -257,33 +246,95 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "mymodelweb/\n",
-      "├── group1-shard1of3.bin\n",
-      "├── group1-shard2of3.bin\n",
-      "├── group1-shard3of3.bin\n",
-      "└── model.json\n",
-      "\n",
-      "0 directories, 4 files\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "!tree mymodelweb/"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# TensorFlow Hub"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflow_hub as hub\n",
+    "\n",
+    "hub_url = \"https://tfhub.dev/google/tf2-preview/nnlm-en-dim128/1\"\n",
+    "embed = hub.KerasLayer(hub_url)\n",
+    "embeddings = embed([\"A long sentence.\", \"single-word\", \"http://example.com\"])\n",
+    "print(embeddings.shape, embeddings.dtype)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflow.keras as keras\n",
+    "from tensorflow.keras.layers import Dense\n",
+    "model = keras.Sequential()\n",
+    "model.add(Dense(23, input_shape=(None,23)))\n",
+    "model.add(embed)\n",
+    "model.add(keras.layers.Dense(16, activation='relu'))\n",
+    "model.add(keras.layers.Dense(1, activation='sigmoid'))\n",
+    "model.build()\n",
+    "model.summary()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = tf.keras.Sequential([\n",
+    "    embed,\n",
+    "    tf.keras.layers.Dense(16, activation=\"relu\"),\n",
+    "    tf.keras.layers.Dense(1, activation=\"sigmoid\"),\n",
+    "])\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "model.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# TensorFlow Hub"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model_url = \"https://tfhub.dev/google/tf2-preview/nnlm-en-dim128/1\"\n",
+    "hub_layer = hub.KerasLayer(model_url, output_shape=[128], input_shape=[], dtype=tf.string)\n",
+    "\n",
+    "model = keras.Sequential()\n",
+    "model.add(hub_layer)\n",
+    "model.add(...)\n",
+    "...\n",
+    "model.summary()\n"
+   ]
   }
  ],
  "metadata": {