IEEE

Toward an Efficient Deep Pipelined Template-Based Architecture for Accelerating the Entire 2-D and 3-D CNNs on FPGA

Abstract: 3-D convolutional neural networks (3-D CNNs) are used efficiently in many computer vision applications. Most previous work in this area has concentrated only on design and optimization of ...
IEEE

Accelerating Deep Convolutional Neural Networks Using Number Theoretic Transform

Abstract: Modern deep convolutional neural networks (CNNs) suffer from high computational complexity due to excessive convolution operations. Recently, fast convolution algorithms such as fast Fourier ...
GitHub

fengbintu/Neural-Networks-on-Silicon

Algorithm-Hardware Co-Design for In-Memory Neural Network Computing with Minimal Peripheral Circuit Overhead. Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep ...