hjtsml_future的博客原做的是二分类,在训练的时候遇到了... for i, (inputs, target) in enumerate(trainloader): # forward output = net(inputs) # compute loss loss = criterion(output, target) optimizer.zero_grad() # back
秦天宝.的博客ValueError: Error when checking input: expected conv2d_input to have 4 dimensions, but got array with shape (150, 150, 3) 源代码: image = mpimg.imread("./ima/b.jpg") image = image/255 classe = model....