The main goal of this work is to improve the efficiency of training binary neural networks, which are low latency and low energy networks. The main contribution of this work is the proposal of two solutions comprised of topology changes and strategy training that allow the network to achieve near the state-of-the-art performance and efficient training. The time required for training and the memory required in the process are two factors that contribute to efficient training.

翻译：本研究的主要目标是提升二元神经网络的训练效率，这类网络具有低延迟和低能耗的特性。本文的核心贡献在于提出了两项解决方案，包括拓扑结构调整和训练策略优化，使得网络能够接近最优性能并实现高效训练。训练时间与内存占用是影响训练效率的两个关键因素。