Tag
stride
- Sep 6, 2026 Receptive Field Arithmetic and Effective Coverage How a unit back-propagates to the input positions that influence it, why the theoretical field overstates the real one, and how dilation and stride change the recurrence. deep learning
- Jun 29, 2026 Pooling as a Downsampling Operator and Its Signal Effects What max and average pooling actually compute, why stride-based subsampling aliases, and how the backward pass routes gradient through a non-differentiable maximum. deep learning
- Nov 28, 2023 Transposed Convolution and the Checkerboard Artifact How the backward pass of a convolution defines an upsampling operator, why unequal kernel overlap produces a fixed grid pattern, and how to avoid it entirely. deep learning
- Jan 17, 2023 Applying STRIDE per Element Instead of per System Why the six threat classes are property violations, which of them are vacuous for each diagram element type, and how the per-element grid turns a mnemonic into an assignable work list. security