'LSTM model fails
model = Sequential()
model.add(LSTM(units=32, return_sequences=True, input_shape=(training.shape[1],1)))
model.add(Dropout(0.2))
model.add(LSTM(units=21, return_sequences=True))
model.add(Dropout(0.2))
model.add(LSTM(units=10, return_sequences=True))
model.add(Dropout(0.2))
model.add(LSTM(units=10))
model.add(Dropout(0.2))
model.add(Dense(units=1))
model.compile(optimizer='adam',loss='mean_squared_error', metrics=["accuracy"])
history=model.fit(training,output,epochs=100,batch_size=1)
Sources
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Source: Stack Overflow
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