Fig. 3
From: A multi-task convolutional deep neural network for variant calling in single molecule sequencing
Clairvoyante network architecture and layer details. The descriptions under each layer, include (1) the layer’s function; (2) the activation function used; (3) the dimension of the layer in parenthesis (input layer: height × width × arrays, convolution layer: height × width × filters, fully connected layer: nodes), and (4) kernel size in brackets (height × width)
