Abstract: Low-rank decomposition (LRD) and pruning-based methodologies are usually applied to compress neural networks. When targeting a large compression ratio in one shot, LRD-based methods such as ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

1 Xi’an Key Laboratory of Advanced Photo-Electronics Materials and Energy Conversion Device, School of Electronic Information, Xijing University, Xi’an, China 2 Beijing Chaoyang Foreign Language ...

Abstract: Self-interference (SI) is regarded as a main challenge in in-band full-duplex (IBFD) radios. In this letter, an augmented structure for neural networks (NNs)-based cancelers is proposed to ...

It's research-level work, so expect things to break sometimes. Iteration control: Bounded refinement iterations (e.g., 3), per-service timeouts, and safe_request wrappers to avoid pipeline stalls; ...