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Jul 19th, 2019
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  1. model = tf.keras.models.Sequential([
  2. tf.keras.layers.Flatten(input_shape=(28, 28)),
  3. tf.keras.layers.Dense(512, activation=tf.nn.relu),
  4. tf.keras.layers.Dropout(0.2),
  5. tf.keras.layers.Dense(10, activation=tf.nn.softmax)
  6. ])
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