CNN模型 code实现 ## 二维互相关 import torch import torch.nn as nn def corr2d(X, K): H, W = X.shape h, w = K.shape Y = torch.zeros(H - h + 1, W - w + 1) for i in range(Y.shape[0]): for j in range(Y.shape[1]): Y[i, j] = (X[i: i + h, j: j + w] * K).sum() return Y X = torc
