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