Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein Binding

@PKU1898 presents Deepprune, a novel #DL framework, which prunes the weights in the dense layer and fine-tunes iteratively enabling the training of CNN-based models with limited kernel numbers, allowing easy interpretation of the learned model. https://t.c

New Research: Deepprune: Learning Efficient and Interpretable Convolutional Networks Through Weight Pruning for Predicting DNA-Protein Binding: Convolutional neural network (CNN) based methods have outperformed conventional machine learning… https://t.co/m