Fig. 1
From: A review of deep learning applications for genomic selection
A five-layer feedforward deep neural network with one input layer, four hidden layers and one output layer. There are eight neurons in the input layer that corresponds to the input information, four neurons in the first three hidden layers, three neurons in the fourth hidden layer and three neurons in the output layer that corresponds to the traits that will be predicted