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update

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Newnius
2020-05-02 15:00:10 +08:00
parent c55e2c0503
commit 28d2edf065
2 changed files with 22 additions and 25 deletions
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45
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2
train.py
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@@ -67,7 +67,7 @@ def fit_lstm(train, batch_size2, nb_epoch, neurons):
model = Sequential() model = Sequential()
model.add(LSTM(neurons, batch_input_shape=(batch_size2, X.shape[1], X.shape[2]), stateful=True)) model.add(LSTM(neurons, batch_input_shape=(batch_size2, X.shape[1], X.shape[2]), stateful=True))
model.add(Dense(1)) model.add(Dense(1))
model.compile(loss='mean_squared_error', optimizer='adam') model.compile(loss='mean_squared_error', optimizer=Adam(lr=0.01))
for i in range(nb_epoch): for i in range(nb_epoch):
print("Epoch {}/{}".format(i, nb_epoch)) print("Epoch {}/{}".format(i, nb_epoch))
model.fit(X, y, epochs=1, batch_size=batch_size2, verbose=0, shuffle=False) model.fit(X, y, epochs=1, batch_size=batch_size2, verbose=0, shuffle=False)