Fix three errors of the tutorial 'Image captioning with visual attention'

[bvantuan]

1. To align the same shape with image features model = Captioner(tokenizer, feature_extractor=mobilenet, output_layer=output_layer, units=256, dropout_rate=0.5, num_layers=2, num_heads=2) --> model = Captioner(tokenizer, feature_extractor=mobilenet, output_layer=output_layer, units=576, dropout_rate=0.5, num_layers=2, num_heads=2)

2. Utilize the set_model method because property 'model' of 'GenerateText' object has no setter g.model = model --> g.set_model(model)

3. labels must have the dtype of int32 or int64. loss = tf.nn.sparse_softmax_cross_entropy_with_logits(labels, preds) --> labels = tf.cast(labels, tf.int64) loss = tf.nn.sparse_softmax_cross_entropy_with_logits(labels, preds)

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