The following pages link to DoReFa-Net (Q51948):
Displaying 10 items.
- Learning quantized neural nets by coarse gradient method for nonlinear classification (Q2050846) (← links)
- A decomposable Winograd method for N-D convolution acceleration in video analysis (Q2054386) (← links)
- Rectified binary convolutional networks with generative adversarial learning (Q2054394) (← links)
- Stochastic Markov gradient descent and training low-bit neural networks (Q2073135) (← links)
- Stochastic quantization for learning accurate low-bit deep neural networks (Q2193833) (← links)
- Blended coarse gradient descent for full quantization of deep neural networks (Q2319868) (← links)
- (Q4558516) (← links)
- (Q4999087) (← links)
- ApGAN: Approximate GAN for Robust Low Energy Learning From Imprecise Components (Q5125859) (← links)
- BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights (Q5230408) (← links)
