Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization
Rank selection of CP-decomposed convolutional layers with variational Bayesian matrix factorization
Convolutional Neural Networks (CNNs) is one of successful method in many areas such as image classification tasks. However, the amount of memory and computational cost needed for CNNs inference obstructs them to run efficiently in mobile devices because of memory and computational ability limitation. One of the method to compress …