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Simplify tboard
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examples/keras-perf/cnn.py

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model.fit(X_train, y_train, validation_data=(X_test, y_test),
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epochs=config.epochs,
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callbacks=[WandbCallback(data_type="image", save_model=False),
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tf.keras.callbacks.TensorBoard(log_dir=wandb.run.dir, histogram_freq=2)])
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tf.keras.callbacks.TensorBoard(log_dir=wandb.run.dir)])
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model.save('cnn.h5')
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# Convert to TensorFlow Lite model.

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