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https://github.com/newnius/YAO-optimizer.git
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update
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4
train.py
4
train.py
@ -71,8 +71,8 @@ def fit_lstm(train, batch_size2, nb_epoch, neurons):
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for i in range(nb_epoch):
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print("Epoch {}/{}".format(i, nb_epoch))
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model.fit(X, y, epochs=1, batch_size=batch_size2, verbose=0, shuffle=False)
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#loss, accuracy = model.evaluate(X, y)
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#print(loss, accuracy)
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loss, accuracy = model.evaluate(X, y)
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print(loss, accuracy)
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model.reset_states()
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return model
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