info_{now.strftime('%Y-%m-%d_%H-%M')}.txt

{'seq_length': 100}
model = Sequential()
model.add(LSTM(400, input_shape=(X.shape[1], X.shape[2]), return_sequences=True))
model.add(Dropout(0.2))
model.add(LSTM(200))
model.add(Dropout(0.2))
model.add(Dense(y.shape[1], activation='softmax'))
model.compile(loss='categorical_crossentropy', optimizer='adam')