Ptr-NN solves problems such as sorting arrays using neural attention mechanism. It differs from other attentions because instead of using it as a mask to weight the encoder outputs it is used as a "C ...

Key Components of the Encoder-Decoder Model. Encoder: The encoder is responsible for compressing the input data into a compact and informative representation. It typically consists of a series of ...

The parameters of the two NN are jointly learned by using a training set and the back-propagation algorithm. The resulting architecture can then be viewed as an underparametrized graph-aware ...

Recently, the ever-increasing demand for bandwidth in multi-modal communication systems requires a paradigm shift. Powered by deep learning, semantic communications are applied to multi-modal ...