The following pages link to cuDNN (Q29700):
Displaying 12 items.
- Direct reconstruction method for discontinuous Galerkin methods on higher-order mixed-curved meshes III. Code optimization via tensor contraction (Q2028168) (← links)
- A decomposable Winograd method for N-D convolution acceleration in video analysis (Q2054386) (← links)
- Deep learning on image denoising: an overview (Q2057732) (← links)
- Inference, learning and attention mechanisms that exploit and preserve sparsity in CNNs (Q2193592) (← links)
- Deep learning for real-time crime forecasting and its ternarization (Q2286236) (← links)
- Stereo matching by training a convolutional neural network to compare image patches (Q2810872) (← links)
- (Q4558473) (← links)
- TTC (Q4581372) (← links)
- Design of a High-Performance GEMM-like Tensor–Tensor Multiplication (Q4581393) (← links)
- (Q4998977) (← links)
- (Q5053261) (← links)
- Derivation and Analysis of Fast Bilinear Algorithms for Convolution (Q5140608) (← links)
