Autoencoder, Capsule Networks, Attention Mechanism, Deep Learning, Artificial Intelligence.
self.b) a = keras.backend.softmax(e, axis=1) output = x[0] * a return keras.backend.sum(output, axis=1) def compute_output_shape(self, input_shape): return (input_shape[0][0], input_shape[0][2]) # Define model using the attention mechanism embedding_size = 128 vocab_size = 5000 # For simplicity,