Question: In the posted paper Deep Learning: New Computational Modeling Techniques for Genomics What are the different types of Artificial Neural Networks described in the posted

In the posted paper "Deep Learning: New Computational Modeling Techniques for Genomics"
What are the different types of Artificial Neural Networks described in the posted paper ? Describe
differences of each with the feed forward neural networks we have see so far, and what are the ideal
applications for each of these new types of Artificial Neural Networks described in the paper.
In the posted paper "Deep Learning: New Computational Modeling Techniques for

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