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Increase training epochs
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examples/generative/cyclegan.py

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@@ -618,7 +618,7 @@ def discriminator_loss_fn(real, fake):
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# 7 minutes on a single P100 backed machine.
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cycle_gan_model.fit(
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tf.data.Dataset.zip((train_horses, train_zebras)),
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epochs=1,
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epochs=90,
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callbacks=[plotter, model_checkpoint_callback],
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)
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