|
121 | 121 | "outputs": [], |
122 | 122 | "source": [ |
123 | 123 | "!pip install tensorflow-hub\n", |
124 | | - "!pip install tensorflow-datasets" |
| 124 | + "!pip install tensorflow-datasets\n", |
| 125 | + "!pip install tf-keras" |
125 | 126 | ] |
126 | 127 | }, |
127 | 128 | { |
|
138 | 139 | "import tensorflow as tf\n", |
139 | 140 | "import tensorflow_hub as hub\n", |
140 | 141 | "import tensorflow_datasets as tfds\n", |
| 142 | + "import tf_keras as keras\n", |
141 | 143 | "\n", |
142 | 144 | "print(\"Version: \", tf.__version__)\n", |
143 | 145 | "print(\"Eager mode: \", tf.executing_eagerly())\n", |
|
290 | 292 | }, |
291 | 293 | "outputs": [], |
292 | 294 | "source": [ |
293 | | - "model = tf.keras.Sequential()\n", |
| 295 | + "model = keras.Sequential()\n", |
294 | 296 | "model.add(hub_layer)\n", |
295 | | - "model.add(tf.keras.layers.Dense(16, activation='relu'))\n", |
296 | | - "model.add(tf.keras.layers.Dense(1))\n", |
| 297 | + "model.add(keras.layers.Dense(16, activation='relu'))\n", |
| 298 | + "model.add(keras.layers.Dense(1))\n", |
297 | 299 | "\n", |
298 | 300 | "model.summary()" |
299 | 301 | ] |
|
339 | 341 | "outputs": [], |
340 | 342 | "source": [ |
341 | 343 | "model.compile(optimizer='adam',\n", |
342 | | - " loss=tf.keras.losses.BinaryCrossentropy(from_logits=True),\n", |
| 344 | + " loss=keras.losses.BinaryCrossentropy(from_logits=True),\n", |
343 | 345 | " metrics=['accuracy'])" |
344 | 346 | ] |
345 | 347 | }, |
|
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