named entity recognition.py

def get_bilstm_lstm_model():
    model = Sequential()

    # Add Embedding layer
    model.add(Embedding(input_dim=input_dim, output_dim=output_dim, input_length=input_length))

    # Add bidirectional LSTM
    model.add(Bidirectional(LSTM(units=output_dim, return_sequences=True, dropout=0.2, recurrent_dropout=0.2), merge_mode = 'concat'))

    # Add LSTM
    model.add(LSTM(units=output_dim, return_sequences=True, dropout=0.5, recurrent_dropout=0.5))

    # Add timeDistributed Layer
    model.add(TimeDistributed(Dense(n_tags, activation="relu")))

    #Optimiser 
    # adam = k.optimizers.Adam(lr=0.0005, beta_1=0.9, beta_2=0.999)

    # Compile model
    model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
    model.summary()
    
    return model