Fig. 1
From: SpliceFinder: ab initio prediction of splice sites using convolutional neural network
The architecture of our proposed CNN. The input of the neural network is the encoded DNA sequence with the length of L. The first layer is a 1-D convolutional layer, consists of 50 kernels with the size of 9. The second layer is a fully connected layer with 100 neurons, followed by a dropout layer. Another fully connected layer and softmax activation function are applied for the final prediction