Fig. 2
From: Eye-color and Type-2 diabetes phenotype prediction from genotype data using deep learning methods
Artificial network network structure. Selected SNPs are passed to a fully connected network. Each connection represents the weight learned by the model. The number of hidden layers and the number of neurons in each layer can be changed. Each circle is a processing unit which will perform will perform activation function on a combination of input from the previous layer. It is a binary classification problem so the output layer contains 2 processing units [39]