둔비의 공부공간

https://arxiv.org/abs/1506.02626 (Standford, Nvidia NIPS 2015) Learning both Weights and Connections for Efficient Neural Networks Neural networks are both computationally intensive and memory intensive, making them difficult to deploy on embedded systems. Also, conventional networks fix the architecture before training starts; as a result, training cannot improve the architecture. To arxiv.org ..