defaults keras has good defaultsand things will almost always "just workwithout you having to spend time tuning parameters by hand listing using he lstm layer in keras from keras layers import lstm model sequential(model add(embedding(max_features )model add(lstm( )model add(dense( activation='sigmoid')model compile(optimizer='rmsprop'loss='binary_crossentropy'metrics=['acc']history model fit(input_trainy_trainepochs= batch_size= validation_split= figure training and validat ion loss on imdb wit lstm figure training and validat ion accuracy on imdb wit lstm licensed to