Autoencoder, Capsule Networks, Attention Mechanism, Deep Learning, Artificial Intelligence.
maxlen=input_length) # Here, for simplicity, using input as target. model.fit(data, data, epochs=10) This code demonstrates an implementation of the attention mechanism for an LSTM. The attention mechanism computes the context by taking a weighted sum of all LSTM outputs. Here, we’ve used the input