Multilayer nonlinear diffraction neural networks with programmable and fast ReLU activation function
Optical diffractive neural networks are emerging for improving speed and energy efficiency in machine learning. However, the challenges of nonlinear activation functions (e.g., latency issues, high ...
This paper proposes an enhanced DenseNet-based strategy to improve mural classification performance. Briefly, a new independent component layer structure separates the larger 7 × 7 convolution kernels ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results