Deep Fried ConvnetsEI
international conference on computer vision, Volume abs/1412.71492014, Pages 1476-1483.
The fully-connected layers of deep convolutional neural networks typically contain over 90% of the network parameters. Reducing the number of parameters while preserving predictive performance is critically important for training big models in distributed systems and for deployment in embedded devices. In this paper, we introduce a novel ...More