In this final chapter, we gave the reader a glimpse of what to do next in this field. Being more theoretical, this chapter has focused more on the functionality and information than on practical implementation, because this would be very heavy for an introductory book. In every case, a simple code is provided to give a hint on how to further implement deep neural networks. The reader is then encouraged to modify the codes of the previous chapters, adapting them to the hybrid neural networks and comparing the results. Being a very dynamic and novel field of research, at every moment new approaches and algorithms are under development, and we provide in the references a list of publications to stay up to date on this subject.