A survey of hardware architectures for generative adversarial networks
Recent years have witnessed a significant interest in the “generative adversarial
networks”(GANs) due to their ability to generate high-fidelity data. Many models of GANs …
networks”(GANs) due to their ability to generate high-fidelity data. Many models of GANs …
Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators
Dilated and transposed convolutions are widely used in modern convolutional neural
networks (CNNs). These kernels are used extensively during CNN training and inference of …
networks (CNNs). These kernels are used extensively during CNN training and inference of …