Differentiation of Cytopathic Effects (CPE) induced by influenza virus infection using deep Convolutional Neural Networks (CNN)
Fig 5
Architecture of the Convolutional Neural Network model.
There are three convolutional layers with max pooling and four fully-connected layers. The numbers beside the input indicate the size of the image. The numbers of the convolutions and pooling are the size of output from previous layer. The numbers in the cube indicate the size of convolutional filter and pooling kernel. The bold numbers are the number of the neurons in the fully-connected layers.