Sparsification and Separation.

key Contributions: * A sparse coding-based approach to optimize depp learning inference execution. * Convolution kernel separation technique * The first to do Deep Learning Model on severely constrained wearable hardware. * implement a prototype, * experiment with for CNN and DNN models, 11.3x improvements in memory and 13.3x inexecution time. accuracy loss 5%