Fig. 3
From: Deep phenotyping: deep learning for temporal phenotype/genotype classification
The structure of an RNN. The system at each time-point is updated based on the current input data and the status of the system at the previous time-point. Here, f and g are element-wise non-linear functions which are often set to hyperbolic tangent (\(\phi\)) and sigmoid (\(\sigma\)), respectively