Keras model for Xatkit's NLU network

keras_xatkit_nlu.py

    model: tf.keras.models = tf.keras.Sequential([
        tf.keras.layers.Embedding(input_dim=configuration.num_words, output_dim=configuration.embedding_dim, input_length=configuration.input_max_num_tokens),
        tf.keras.layers.GlobalAveragePooling1D(),
        tf.keras.layers.Dense(24, activation='relu'),
        tf.keras.layers.Dense(24, activation='relu'),
        tf.keras.layers.Dense(len(context.intents), activation='sigmoid')  
    ])
    model.compile(loss=tf.keras.losses.SparseCategoricalCrossentropy(), optimizer='adam', metrics=['accuracy'])