Inferring the code of internal priming by deep learning

In real data sets we would like to distinguish poly(A) sites from internal priming sites. To do this, we want to construct a classifier that uses the sequence flanking the sites. As a deep learning architecture we can use a convolutional neural network, for e.g. from a numpy implementation, https://pypi.org/project/numpycnn/)

Input: sequences of bona fide and internally-primed poly(A) sites (#16)

Output: classifier based on the nucleotide sequence around the sites