CNN 深度前向传播引擎

CONV2D → RELU → POOLING PIPELINE

L0: INPUT (PADDED)

尺寸: 8x8

L1: CONV2D FILTER

提取局部特征 (点积运算)

TENSOR MATH LOG
WAITING...

L2: FEATURE MAP & ACT

尺寸: 6x6 | 状态: CONV

L3: POOLING

尺寸: 3x3