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@philippslang
Last active August 22, 2017 19:19
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if 1:
model = make_rnn(num_features, num_targets, num_timesteps, num_units)
model.fit(features, targets, epochs=10, batch_size=24, validation_split=0.2)
model.save(FNAME_MODEL)
else:
model = kem.load_model(FNAME_MODEL)
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